{ "cells": [ { "cell_type": "markdown", "id": "c45428f2", "metadata": {}, "source": [ "This notebook is designed for ray integrations for signals\n", "\n", "lets load askbid candlesticks file." ] }, { "cell_type": "code", "execution_count": 20, "id": "2b5ebffa", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " open high low close vol date\n", "0 0.67323 0.67351 0.67323 0.67351 21.50 2020-09-01 03:00:00+03:00\n", "1 0.67349 0.67350 0.67349 0.67350 5.69 2020-09-01 03:00:05+03:00\n", "2 0.67350 0.67350 0.67350 0.67350 0.00 2020-09-01 03:00:10+03:00\n", "3 0.67355 0.67355 0.67351 0.67351 4.50 2020-09-01 03:00:15+03:00\n", "4 0.67351 0.67352 0.67351 0.67352 7.00 2020-09-01 03:00:20+03:00\n", "... ... ... ... ... ... ...\n", "380145 0.66212 0.66212 0.66209 0.66209 2.25 2020-10-01 02:58:45+03:00\n", "380146 0.66209 0.66209 0.66209 0.66209 0.00 2020-10-01 02:58:50+03:00\n", "380147 0.66209 0.66209 0.66209 0.66209 0.00 2020-10-01 02:58:55+03:00\n", "380148 0.66209 0.66209 0.66209 0.66209 0.00 2020-10-01 02:59:00+03:00\n", "380149 0.66208 0.66208 0.66207 0.66207 4.00 2020-10-01 02:59:05+03:00\n", "\n", "[380150 rows x 6 columns]" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import market_trade.constants\n", "import market_trade.dataloader\n", "\n", "candlesticks_filepaths = [filepath for filepath in market_trade.constants.CANDLESTICK_DATASETS_PATH.iterdir()]\n", "candlesticks_filepath = candlesticks_filepaths[0]\n", "duka_interface = market_trade.dataloader.DukaMTInterface(candlesticks_filepath)\n", "duka_interface.bid_candlesticks" ] }, { "cell_type": "markdown", "id": "ae9c0943", "metadata": {}, "source": [ "Let's test signal." ] }, { "cell_type": "code", "execution_count": 21, "id": "7f284ae6", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'chstota': -0.0021010505252626313,\n", " 'zeroNum %': 0.8750375187593797,\n", " 't %': 0.06143071535767884,\n", " 'f %': 0.06353176588294147,\n", " 'toch': 0.49159327461969576}" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import market_trade.signals.Signal1\n", "\n", "bid_candlesticks_df = duka_interface.bid_candlesticks[:10000]\n", "\n", "ind_params = {'MeanType': 'SMA', 'window': 5, 'valueType': 'low', 'kDev': 2}\n", "indEl1 = {\n", " 'df': bid_candlesticks_df,\n", " 'params': ind_params,\n", " 'needFig': False,\n", " 'showOnlyIndex': False,\n", " 'drawFig': True\n", "}\n", "signal_result = market_trade.signals.Signal1.SignalBollingerBands1({'BB': indEl1})\n", "signal_result.analiz" ] }, { "cell_type": "markdown", "id": "2f0acadd", "metadata": {}, "source": [ "Now let's design ray trainable." ] }, { "cell_type": "code", "execution_count": 22, "id": "32624a56", "metadata": {}, "outputs": [], "source": [ "def trainable(config):\n", " ind_params = {'MeanType': 'SMA',\n", " 'window': config['window'],\n", " 'valueType': config['value_type'],\n", " 'kDev': config['k_dev']}\n", " indEl1 = {\n", " 'df': bid_candlesticks_df,\n", " 'params': ind_params,\n", " 'needFig': False,\n", " 'showOnlyIndex': False,\n", " 'drawFig': True\n", " }\n", " signal_result = market_trade.signals.Signal1.SignalBollingerBands1({'BB': indEl1})\n", " tune.report(accuracy=signal_result.analiz[\"toch\"])" ] }, { "cell_type": "markdown", "id": "5e132728", "metadata": {}, "source": [ "Let's create config space." ] }, { "cell_type": "code", "execution_count": 23, "id": "1ce577cf", "metadata": {}, "outputs": [], "source": [ "from ray import tune\n", "\n", "config = {\n", " 'window': tune.qrandint(5,100,5),\n", " 'value_type': tune.choice(['open', 'low', 'high', 'close']),\n", " 'k_dev': tune.uniform(1,4)\n", "}" ] }, { "cell_type": "markdown", "id": "2ddd8e0a", "metadata": {}, "source": [ "Let's run ray tune" ] }, { "cell_type": "code", "execution_count": 24, "id": "067de743", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:33:51,021\tWARNING tune.py:636 -- Tune detects GPUs, but no trials are using GPUs. To enable trials to use GPUs, set tune.run(resources_per_trial={'gpu': 1}...) which allows Tune to expose 1 GPU to each trial. You can also override `Trainable.default_resource_request` if using the Trainable API.\n", "2022-06-01 19:33:51,187\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00000\n", "IOPub data rate exceeded.\n", "The notebook server will temporarily stop sending output\n", "to the client in order to avoid crashing it.\n", "To change this limit, set the config variable\n", "`--NotebookApp.iopub_data_rate_limit`.\n", "\n", "Current values:\n", "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", "NotebookApp.rate_limit_window=3.0 (secs)\n", "\n" ] }, { "data": { "text/html": [ "== Status ==
Current time: 2022-06-01 19:33:53 (running for 00:00:02.09)
Memory usage on this node: 10.8/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 1.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 16/100 (15 PENDING, 1 RUNNING)
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
Trial name status loc k_devvalue_type window
trainable_9e7a8_00000RUNNING 192.168.1.14:99853.58725close 30
trainable_9e7a8_00001PENDING 2.9955 high 90
trainable_9e7a8_00002PENDING 3.91286high 20
trainable_9e7a8_00003PENDING 2.40783low 40
trainable_9e7a8_00004PENDING 2.83742high 95
trainable_9e7a8_00005PENDING 2.78332open 70
trainable_9e7a8_00006PENDING 2.02252low 90
trainable_9e7a8_00007PENDING 2.04865close 30
trainable_9e7a8_00008PENDING 2.38263high 55
trainable_9e7a8_00009PENDING 2.9824 low 95
trainable_9e7a8_00010PENDING 1.96683high 95
trainable_9e7a8_00011PENDING 1.36129low 5
trainable_9e7a8_00012PENDING 3.81256open 15
trainable_9e7a8_00013PENDING 1.80733high 35
trainable_9e7a8_00014PENDING 1.52009low 65
trainable_9e7a8_00015PENDING 1.5003 high 30


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:33:53,205\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00001\n", "2022-06-01 19:33:53,215\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00002\n", "2022-06-01 19:33:53,228\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00003\n", "2022-06-01 19:33:53,244\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00004\n", "2022-06-01 19:33:53,262\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00005\n", "IOPub data rate exceeded.\n", "The notebook server will temporarily stop sending output\n", "to the client in order to avoid crashing it.\n", "To change this limit, set the config variable\n", "`--NotebookApp.iopub_data_rate_limit`.\n", "\n", "Current values:\n", "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", "NotebookApp.rate_limit_window=3.0 (secs)\n", "\n", "2022-06-01 19:33:53,326\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00006\n", "2022-06-01 19:33:53,354\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00007\n", "2022-06-01 19:33:53,386\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00008\n", "2022-06-01 19:33:53,420\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00009\n", "2022-06-01 19:33:53,458\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00010\n", "2022-06-01 19:33:53,504\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00011\n", "IOPub data rate exceeded.\n", "The notebook server will temporarily stop sending output\n", "to the client in order to avoid crashing it.\n", "To change this limit, set the config variable\n", "`--NotebookApp.iopub_data_rate_limit`.\n", "\n", "Current values:\n", "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", "NotebookApp.rate_limit_window=3.0 (secs)\n", "\n" ] }, { "data": { "text/html": [ "== Status ==
Current time: 2022-06-01 19:33:58 (running for 00:00:07.64)
Memory usage on this node: 12.1/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 28/100 (16 PENDING, 12 RUNNING)
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
Trial name status loc k_devvalue_type window
trainable_9e7a8_00000RUNNING 192.168.1.14:9985 3.58725close 30
trainable_9e7a8_00001RUNNING 192.168.1.14:100192.9955 high 90
trainable_9e7a8_00002RUNNING 192.168.1.14:100213.91286high 20
trainable_9e7a8_00003RUNNING 192.168.1.14:100232.40783low 40
trainable_9e7a8_00004RUNNING 192.168.1.14:100252.83742high 95
trainable_9e7a8_00005RUNNING 192.168.1.14:100262.78332open 70
trainable_9e7a8_00006RUNNING 192.168.1.14:100292.02252low 90
trainable_9e7a8_00007RUNNING 192.168.1.14:100312.04865close 30
trainable_9e7a8_00008RUNNING 192.168.1.14:100332.38263high 55
trainable_9e7a8_00009RUNNING 192.168.1.14:100352.9824 low 95
trainable_9e7a8_00012PENDING 3.81256open 15
trainable_9e7a8_00013PENDING 1.80733high 35
trainable_9e7a8_00014PENDING 1.52009low 65
trainable_9e7a8_00015PENDING 1.5003 high 30
trainable_9e7a8_00016PENDING 3.82771low 70
trainable_9e7a8_00017PENDING 2.9332 high 95
trainable_9e7a8_00018PENDING 1.97031open 50
trainable_9e7a8_00019PENDING 3.3669 high 20
trainable_9e7a8_00020PENDING 1.2511 high 30
trainable_9e7a8_00021PENDING 1.18569open 85

... 8 more trials not shown (2 RUNNING, 6 PENDING)

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "== Status ==
Current time: 2022-06-01 19:34:06 (running for 00:00:15.09)
Memory usage on this node: 12.0/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 28/100 (16 PENDING, 12 RUNNING)
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
Trial name status loc k_devvalue_type window
trainable_9e7a8_00000RUNNING 192.168.1.14:9985 3.58725close 30
trainable_9e7a8_00001RUNNING 192.168.1.14:100192.9955 high 90
trainable_9e7a8_00002RUNNING 192.168.1.14:100213.91286high 20
trainable_9e7a8_00003RUNNING 192.168.1.14:100232.40783low 40
trainable_9e7a8_00004RUNNING 192.168.1.14:100252.83742high 95
trainable_9e7a8_00005RUNNING 192.168.1.14:100262.78332open 70
trainable_9e7a8_00006RUNNING 192.168.1.14:100292.02252low 90
trainable_9e7a8_00007RUNNING 192.168.1.14:100312.04865close 30
trainable_9e7a8_00008RUNNING 192.168.1.14:100332.38263high 55
trainable_9e7a8_00009RUNNING 192.168.1.14:100352.9824 low 95
trainable_9e7a8_00012PENDING 3.81256open 15
trainable_9e7a8_00013PENDING 1.80733high 35
trainable_9e7a8_00014PENDING 1.52009low 65
trainable_9e7a8_00015PENDING 1.5003 high 30
trainable_9e7a8_00016PENDING 3.82771low 70
trainable_9e7a8_00017PENDING 2.9332 high 95
trainable_9e7a8_00018PENDING 1.97031open 50
trainable_9e7a8_00019PENDING 3.3669 high 20
trainable_9e7a8_00020PENDING 1.2511 high 30
trainable_9e7a8_00021PENDING 1.18569open 85

... 8 more trials not shown (2 RUNNING, 6 PENDING)

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00000:\n", " accuracy: 0.46153846153846156\n", " date: 2022-06-01_19-34-06\n", " done: false\n", " experiment_id: dd508a19143b4ab0b6b5466494a701e5\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 9985\n", " time_since_restore: 13.739934206008911\n", " time_this_iter_s: 13.739934206008911\n", " time_total_s: 13.739934206008911\n", " timestamp: 1654101246\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00000\n", " warmup_time: 0.0024194717407226562\n", " \n", "Result for trainable_9e7a8_00000:\n", " accuracy: 0.46153846153846156\n", " date: 2022-06-01_19-34-06\n", " done: true\n", " experiment_id: dd508a19143b4ab0b6b5466494a701e5\n", " experiment_tag: 0_k_dev=3.5873,value_type=close,window=30\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 9985\n", " time_since_restore: 13.739934206008911\n", " time_this_iter_s: 13.739934206008911\n", " time_total_s: 13.739934206008911\n", " timestamp: 1654101246\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00000\n", " warmup_time: 0.0024194717407226562\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:34:08,271\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00012\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00003:\n", " accuracy: 0.49736842105263157\n", " date: 2022-06-01_19-34-11\n", " done: false\n", " experiment_id: 97f33c5e76b746f7a765446ab2136149\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10023\n", " time_since_restore: 13.583420276641846\n", " time_this_iter_s: 13.583420276641846\n", " time_total_s: 13.583420276641846\n", " timestamp: 1654101251\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00003\n", " warmup_time: 0.005610227584838867\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "IOPub data rate exceeded.\n", "The notebook server will temporarily stop sending output\n", "to the client in order to avoid crashing it.\n", "To change this limit, set the config variable\n", "`--NotebookApp.iopub_data_rate_limit`.\n", "\n", "Current values:\n", "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", "NotebookApp.rate_limit_window=3.0 (secs)\n", "\n" ] }, { "data": { "text/html": [ "== Status ==
Current time: 2022-06-01 19:34:12 (running for 00:00:21.76)
Memory usage on this node: 12.1/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00003 with accuracy=0.49736842105263157 and parameters={'window': 40, 'value_type': 'low', 'k_dev': 2.407825494050322}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 29/100 (16 PENDING, 12 RUNNING, 1 TERMINATED)
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00001RUNNING 192.168.1.14:100192.9955 high 90
trainable_9e7a8_00002RUNNING 192.168.1.14:100213.91286high 20
trainable_9e7a8_00003RUNNING 192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004RUNNING 192.168.1.14:100252.83742high 95
trainable_9e7a8_00005RUNNING 192.168.1.14:100262.78332open 70
trainable_9e7a8_00006RUNNING 192.168.1.14:100292.02252low 90
trainable_9e7a8_00007RUNNING 192.168.1.14:100312.04865close 30
trainable_9e7a8_00008RUNNING 192.168.1.14:100332.38263high 55
trainable_9e7a8_00009RUNNING 192.168.1.14:100352.9824 low 95
trainable_9e7a8_00010RUNNING 192.168.1.14:100361.96683high 95
trainable_9e7a8_00013PENDING 1.80733high 35
trainable_9e7a8_00014PENDING 1.52009low 65
trainable_9e7a8_00015PENDING 1.5003 high 30
trainable_9e7a8_00016PENDING 3.82771low 70
trainable_9e7a8_00017PENDING 2.9332 high 95
trainable_9e7a8_00018PENDING 1.97031open 50
trainable_9e7a8_00019PENDING 3.3669 high 20
trainable_9e7a8_00020PENDING 1.2511 high 30
trainable_9e7a8_00021PENDING 1.18569open 85
trainable_9e7a8_00022PENDING 2.9816 low 40
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538

... 9 more trials not shown (2 RUNNING, 6 PENDING)

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "IOPub data rate exceeded.\n", "The notebook server will temporarily stop sending output\n", "to the client in order to avoid crashing it.\n", "To change this limit, set the config variable\n", "`--NotebookApp.iopub_data_rate_limit`.\n", "\n", "Current values:\n", "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", "NotebookApp.rate_limit_window=3.0 (secs)\n", "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00010:\n", " accuracy: 0.4887169568020632\n", " date: 2022-06-01_19-34-12\n", " done: false\n", " experiment_id: 21171a81f97e4ceab4a2ebf418342710\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10036\n", " time_since_restore: 14.459006547927856\n", " time_this_iter_s: 14.459006547927856\n", " time_total_s: 14.459006547927856\n", " timestamp: 1654101252\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00010\n", " warmup_time: 0.004714012145996094\n", " \n", "Result for trainable_9e7a8_00001:\n", " accuracy: 0.5070921985815603\n", " date: 2022-06-01_19-34-12\n", " done: false\n", " experiment_id: 500dd4a950e04521aa8c39510d3e2709\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10019\n", " time_since_restore: 14.583298921585083\n", " time_this_iter_s: 14.583298921585083\n", " time_total_s: 14.583298921585083\n", " timestamp: 1654101252\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00001\n", " warmup_time: 0.004272937774658203\n", " \n", "Result for trainable_9e7a8_00007:\n", " accuracy: 0.4906779661016949\n", " date: 2022-06-01_19-34-12\n", " done: true\n", " experiment_id: ad1f045cecba4e5cb33d6ca9bc8cc914\n", " experiment_tag: 7_k_dev=2.0486,value_type=close,window=30\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10031\n", " time_since_restore: 14.571169137954712\n", " time_this_iter_s: 14.571169137954712\n", " time_total_s: 14.571169137954712\n", " timestamp: 1654101252\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00007\n", " warmup_time: 0.005751132965087891\n", " \n", "Result for trainable_9e7a8_00001:\n", " accuracy: 0.5070921985815603\n", " date: 2022-06-01_19-34-12\n", " done: true\n", " experiment_id: 500dd4a950e04521aa8c39510d3e2709\n", " experiment_tag: 1_k_dev=2.9955,value_type=high,window=90\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10019\n", " time_since_restore: 14.583298921585083\n", " time_this_iter_s: 14.583298921585083\n", " time_total_s: 14.583298921585083\n", " timestamp: 1654101252\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00001\n", " warmup_time: 0.004272937774658203\n", " \n", "Result for trainable_9e7a8_00010:\n", " accuracy: 0.4887169568020632\n", " date: 2022-06-01_19-34-12\n", " done: true\n", " experiment_id: 21171a81f97e4ceab4a2ebf418342710\n", " experiment_tag: 10_k_dev=1.9668,value_type=high,window=95\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10036\n", " time_since_restore: 14.459006547927856\n", " time_this_iter_s: 14.459006547927856\n", " time_total_s: 14.459006547927856\n", " timestamp: 1654101252\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00010\n", " warmup_time: 0.004714012145996094\n", " \n", "Result for trainable_9e7a8_00002:\n", " accuracy: 0.5043478260869565\n", " date: 2022-06-01_19-34-12\n", " done: false\n", " experiment_id: 05aea56bd6ec4c9aac43da9b333d30c7\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10021\n", " time_since_restore: 15.037883758544922\n", " time_this_iter_s: 15.037883758544922\n", " time_total_s: 15.037883758544922\n", " timestamp: 1654101252\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00002\n", " warmup_time: 0.007447481155395508\n", " \n", "Result for trainable_9e7a8_00009:\n", " accuracy: 0.5460992907801419\n", " date: 2022-06-01_19-34-12\n", " done: true\n", " experiment_id: c0b2e38985174caf8330b6972f808605\n", " experiment_tag: 9_k_dev=2.9824,value_type=low,window=95\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10035\n", " time_since_restore: 13.997156858444214\n", " time_this_iter_s: 13.997156858444214\n", " time_total_s: 13.997156858444214\n", " timestamp: 1654101252\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00009\n", " warmup_time: 0.005003213882446289\n", " \n", "Result for trainable_9e7a8_00002:\n", " accuracy: 0.5043478260869565\n", " date: 2022-06-01_19-34-12\n", " done: true\n", " experiment_id: 05aea56bd6ec4c9aac43da9b333d30c7\n", " experiment_tag: 2_k_dev=3.9129,value_type=high,window=20\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10021\n", " time_since_restore: 15.037883758544922\n", " time_this_iter_s: 15.037883758544922\n", " time_total_s: 15.037883758544922\n", " timestamp: 1654101252\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00002\n", " warmup_time: 0.007447481155395508\n", " \n", "Result for trainable_9e7a8_00006:\n", " accuracy: 0.48802190280629704\n", " date: 2022-06-01_19-34-12\n", " done: false\n", " experiment_id: 28f8355c59bb4338b01419a9080f85e2\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10029\n", " time_since_restore: 14.945950508117676\n", " time_this_iter_s: 14.945950508117676\n", " time_total_s: 14.945950508117676\n", " timestamp: 1654101252\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00006\n", " warmup_time: 0.0067691802978515625\n", " \n", "Result for trainable_9e7a8_00005:\n", " accuracy: 0.5173210161662818\n", " date: 2022-06-01_19-34-12\n", " done: false\n", " experiment_id: 842dab8d618c46ceb905e1a829daef52\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10026\n", " time_since_restore: 14.724257707595825\n", " time_this_iter_s: 14.724257707595825\n", " time_total_s: 14.724257707595825\n", " timestamp: 1654101252\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00005\n", " warmup_time: 0.004319906234741211\n", " \n", "Result for trainable_9e7a8_00004:\n", " accuracy: 0.48586118251928023\n", " date: 2022-06-01_19-34-12\n", " done: true\n", " experiment_id: f3c82d32277a4d99ad52e7e1cfec7d67\n", " experiment_tag: 4_k_dev=2.8374,value_type=high,window=95\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10025\n", " time_since_restore: 14.679120779037476\n", " time_this_iter_s: 14.679120779037476\n", " time_total_s: 14.679120779037476\n", " timestamp: 1654101252\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00004\n", " warmup_time: 0.0037331581115722656\n", " \n", "Result for trainable_9e7a8_00005:\n", " accuracy: 0.5173210161662818\n", " date: 2022-06-01_19-34-12\n", " done: true\n", " experiment_id: 842dab8d618c46ceb905e1a829daef52\n", " experiment_tag: 5_k_dev=2.7833,value_type=open,window=70\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10026\n", " time_since_restore: 14.724257707595825\n", " time_this_iter_s: 14.724257707595825\n", " time_total_s: 14.724257707595825\n", " timestamp: 1654101252\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00005\n", " warmup_time: 0.004319906234741211\n", " \n", "Result for trainable_9e7a8_00006:\n", " accuracy: 0.48802190280629704\n", " date: 2022-06-01_19-34-12\n", " done: true\n", " experiment_id: 28f8355c59bb4338b01419a9080f85e2\n", " experiment_tag: 6_k_dev=2.0225,value_type=low,window=90\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10029\n", " time_since_restore: 14.945950508117676\n", " time_this_iter_s: 14.945950508117676\n", " time_total_s: 14.945950508117676\n", " timestamp: 1654101252\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00006\n", " warmup_time: 0.0067691802978515625\n", " \n", "Result for trainable_9e7a8_00008:\n", " accuracy: 0.46082337317397076\n", " date: 2022-06-01_19-34-13\n", " done: false\n", " experiment_id: addc5a22af734fffa198efb2005acd93\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10033\n", " time_since_restore: 14.97620677947998\n", " time_this_iter_s: 14.97620677947998\n", " time_total_s: 14.97620677947998\n", " timestamp: 1654101253\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00008\n", " warmup_time: 0.00495600700378418\n", " \n", "Result for trainable_9e7a8_00008:\n", " accuracy: 0.46082337317397076\n", " date: 2022-06-01_19-34-13\n", " done: true\n", " experiment_id: addc5a22af734fffa198efb2005acd93\n", " experiment_tag: 8_k_dev=2.3826,value_type=high,window=55\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10033\n", " time_since_restore: 14.97620677947998\n", " time_this_iter_s: 14.97620677947998\n", " time_total_s: 14.97620677947998\n", " timestamp: 1654101253\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00008\n", " warmup_time: 0.00495600700378418\n", " \n", "Result for trainable_9e7a8_00011:\n", " accuracy: 0.46779767514923026\n", " date: 2022-06-01_19-34-13\n", " done: false\n", " experiment_id: 2b1c06fad9df4861aac65670c0d0e137\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10038\n", " time_since_restore: 15.24082326889038\n", " time_this_iter_s: 15.24082326889038\n", " time_total_s: 15.24082326889038\n", " timestamp: 1654101253\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00011\n", " warmup_time: 0.007975101470947266\n", " \n", "Result for trainable_9e7a8_00011:\n", " accuracy: 0.46779767514923026\n", " date: 2022-06-01_19-34-13\n", " done: true\n", " experiment_id: 2b1c06fad9df4861aac65670c0d0e137\n", " experiment_tag: 11_k_dev=1.3613,value_type=low,window=5\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10038\n", " time_since_restore: 15.24082326889038\n", " time_this_iter_s: 15.24082326889038\n", " time_total_s: 15.24082326889038\n", " timestamp: 1654101253\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00011\n", " warmup_time: 0.007975101470947266\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:34:14,762\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00013\n", "2022-06-01 19:34:14,782\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00014\n", "2022-06-01 19:34:14,803\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00015\n", "2022-06-01 19:34:14,821\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00016\n", "2022-06-01 19:34:14,842\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00017\n", "2022-06-01 19:34:14,873\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00018\n", "2022-06-01 19:34:14,897\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00019\n", "2022-06-01 19:34:14,921\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00020\n", "2022-06-01 19:34:14,949\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00021\n", "2022-06-01 19:34:14,992\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00022\n", "2022-06-01 19:34:15,042\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00023\n", "IOPub data rate exceeded.\n", "The notebook server will temporarily stop sending output\n", "to the client in order to avoid crashing it.\n", "To change this limit, set the config variable\n", "`--NotebookApp.iopub_data_rate_limit`.\n", "\n", "Current values:\n", "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", "NotebookApp.rate_limit_window=3.0 (secs)\n", "\n" ] }, { "data": { "text/html": [ "== Status ==
Current time: 2022-06-01 19:34:21 (running for 00:00:30.37)
Memory usage on this node: 12.3/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00009 with accuracy=0.5460992907801419 and parameters={'window': 95, 'value_type': 'low', 'k_dev': 2.982399582158353}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 40/100 (16 PENDING, 12 RUNNING, 12 TERMINATED)
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00012RUNNING 192.168.1.14:104483.81256open 15
trainable_9e7a8_00013RUNNING 192.168.1.14:106941.80733high 35
trainable_9e7a8_00014RUNNING 192.168.1.14:107051.52009low 65
trainable_9e7a8_00015RUNNING 192.168.1.14:107181.5003 high 30
trainable_9e7a8_00016RUNNING 192.168.1.14:107383.82771low 70
trainable_9e7a8_00017RUNNING 192.168.1.14:107912.9332 high 95
trainable_9e7a8_00018RUNNING 192.168.1.14:108201.97031open 50
trainable_9e7a8_00024PENDING 2.37796open 30
trainable_9e7a8_00025PENDING 3.76634open 80
trainable_9e7a8_00026PENDING 1.58155low 85
trainable_9e7a8_00027PENDING 2.00967open 90
trainable_9e7a8_00028PENDING 3.50349low 60
trainable_9e7a8_00029PENDING 3.12407open 65
trainable_9e7a8_00030PENDING 2.93617high 60
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 20 more trials not shown (5 RUNNING, 9 PENDING, 5 TERMINATED)

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00012:\n", " accuracy: 0.5121107266435986\n", " date: 2022-06-01_19-34-26\n", " done: false\n", " experiment_id: 1a22fe6f70954d6b9088455ee5c20962\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10448\n", " time_since_restore: 14.0254967212677\n", " time_this_iter_s: 14.0254967212677\n", " time_total_s: 14.0254967212677\n", " timestamp: 1654101266\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00012\n", " warmup_time: 0.002529621124267578\n", " \n" ] }, { "data": { "text/html": [ "== Status ==
Current time: 2022-06-01 19:34:26 (running for 00:00:35.80)
Memory usage on this node: 12.2/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00009 with accuracy=0.5460992907801419 and parameters={'window': 95, 'value_type': 'low', 'k_dev': 2.982399582158353}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 40/100 (16 PENDING, 12 RUNNING, 12 TERMINATED)
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00012RUNNING 192.168.1.14:104483.81256open 15 1 14.0255 0.512111
trainable_9e7a8_00013RUNNING 192.168.1.14:106941.80733high 35
trainable_9e7a8_00014RUNNING 192.168.1.14:107051.52009low 65
trainable_9e7a8_00015RUNNING 192.168.1.14:107181.5003 high 30
trainable_9e7a8_00016RUNNING 192.168.1.14:107383.82771low 70
trainable_9e7a8_00017RUNNING 192.168.1.14:107912.9332 high 95
trainable_9e7a8_00018RUNNING 192.168.1.14:108201.97031open 50
trainable_9e7a8_00024PENDING 2.37796open 30
trainable_9e7a8_00025PENDING 3.76634open 80
trainable_9e7a8_00026PENDING 1.58155low 85
trainable_9e7a8_00027PENDING 2.00967open 90
trainable_9e7a8_00028PENDING 3.50349low 60
trainable_9e7a8_00029PENDING 3.12407open 65
trainable_9e7a8_00030PENDING 2.93617high 60
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 20 more trials not shown (5 RUNNING, 9 PENDING, 5 TERMINATED)

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00012:\n", " accuracy: 0.5121107266435986\n", " date: 2022-06-01_19-34-26\n", " done: true\n", " experiment_id: 1a22fe6f70954d6b9088455ee5c20962\n", " experiment_tag: 12_k_dev=3.8126,value_type=open,window=15\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10448\n", " time_since_restore: 14.0254967212677\n", " time_this_iter_s: 14.0254967212677\n", " time_total_s: 14.0254967212677\n", " timestamp: 1654101266\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00012\n", " warmup_time: 0.002529621124267578\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:34:27,867\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00024\n", "IOPub data rate exceeded.\n", "The notebook server will temporarily stop sending output\n", "to the client in order to avoid crashing it.\n", "To change this limit, set the config variable\n", "`--NotebookApp.iopub_data_rate_limit`.\n", "\n", "Current values:\n", "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", "NotebookApp.rate_limit_window=3.0 (secs)\n", "\n" ] }, { "data": { "text/html": [ "== Status ==
Current time: 2022-06-01 19:34:32 (running for 00:00:41.90)
Memory usage on this node: 12.2/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00009 with accuracy=0.5460992907801419 and parameters={'window': 95, 'value_type': 'low', 'k_dev': 2.982399582158353}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 41/100 (16 PENDING, 12 RUNNING, 13 TERMINATED)
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00013RUNNING 192.168.1.14:106941.80733high 35
trainable_9e7a8_00014RUNNING 192.168.1.14:107051.52009low 65
trainable_9e7a8_00015RUNNING 192.168.1.14:107181.5003 high 30
trainable_9e7a8_00016RUNNING 192.168.1.14:107383.82771low 70
trainable_9e7a8_00017RUNNING 192.168.1.14:107912.9332 high 95
trainable_9e7a8_00018RUNNING 192.168.1.14:108201.97031open 50
trainable_9e7a8_00019RUNNING 192.168.1.14:108263.3669 high 20
trainable_9e7a8_00025PENDING 3.76634open 80
trainable_9e7a8_00026PENDING 1.58155low 85
trainable_9e7a8_00027PENDING 2.00967open 90
trainable_9e7a8_00028PENDING 3.50349low 60
trainable_9e7a8_00029PENDING 3.12407open 65
trainable_9e7a8_00030PENDING 2.93617high 60
trainable_9e7a8_00031PENDING 2.56237high 40
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 21 more trials not shown (5 RUNNING, 9 PENDING, 6 TERMINATED)

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00019:\n", " accuracy: 0.5130434782608696\n", " date: 2022-06-01_19-34-33\n", " done: false\n", " experiment_id: d96c80c310fa4d4da89a3dd1e96a2d10\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10826\n", " time_since_restore: 13.773784160614014\n", " time_this_iter_s: 13.773784160614014\n", " time_total_s: 13.773784160614014\n", " timestamp: 1654101273\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00019\n", " warmup_time: 0.006046295166015625\n", " \n", "Result for trainable_9e7a8_00019:\n", " accuracy: 0.5130434782608696\n", " date: 2022-06-01_19-34-33\n", " done: true\n", " experiment_id: d96c80c310fa4d4da89a3dd1e96a2d10\n", " experiment_tag: 19_k_dev=3.3669,value_type=high,window=20\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10826\n", " time_since_restore: 13.773784160614014\n", " time_this_iter_s: 13.773784160614014\n", " time_total_s: 13.773784160614014\n", " timestamp: 1654101273\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00019\n", " warmup_time: 0.006046295166015625\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:34:35,042\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00025\n", "2022-06-01 19:34:35,076\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00026\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00016:\n", " accuracy: 0.5555555555555556\n", " date: 2022-06-01_19-34-34\n", " done: false\n", " experiment_id: 7f00783cf5514779a1f37a0ee620c5f9\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10738\n", " time_since_restore: 15.381575345993042\n", " time_this_iter_s: 15.381575345993042\n", " time_total_s: 15.381575345993042\n", " timestamp: 1654101274\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00016\n", " warmup_time: 0.005811214447021484\n", " \n", "Result for trainable_9e7a8_00016:\n", " accuracy: 0.5555555555555556\n", " date: 2022-06-01_19-34-34\n", " done: true\n", " experiment_id: 7f00783cf5514779a1f37a0ee620c5f9\n", " experiment_tag: 16_k_dev=3.8277,value_type=low,window=70\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10738\n", " time_since_restore: 15.381575345993042\n", " time_this_iter_s: 15.381575345993042\n", " time_total_s: 15.381575345993042\n", " timestamp: 1654101274\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00016\n", " warmup_time: 0.005811214447021484\n", " \n", "Result for trainable_9e7a8_00013:\n", " accuracy: 0.4691780821917808\n", " date: 2022-06-01_19-34-35\n", " done: false\n", " experiment_id: 6c52b00a8a8c4056b09e0bd0c60ed9b2\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10694\n", " time_since_restore: 15.529388189315796\n", " time_this_iter_s: 15.529388189315796\n", " time_total_s: 15.529388189315796\n", " timestamp: 1654101275\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00013\n", " warmup_time: 0.007336616516113281\n", " \n", "Result for trainable_9e7a8_00013:\n", " accuracy: 0.4691780821917808\n", " date: 2022-06-01_19-34-35\n", " done: true\n", " experiment_id: 6c52b00a8a8c4056b09e0bd0c60ed9b2\n", " experiment_tag: 13_k_dev=1.8073,value_type=high,window=35\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10694\n", " time_since_restore: 15.529388189315796\n", " time_this_iter_s: 15.529388189315796\n", " time_total_s: 15.529388189315796\n", " timestamp: 1654101275\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00013\n", " warmup_time: 0.007336616516113281\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:34:35,964\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00027\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00018:\n", " accuracy: 0.4855562384757222\n", " date: 2022-06-01_19-34-35\n", " done: false\n", " experiment_id: bbd1c2b5b2664d6fb2788ed0f94d3966\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10820\n", " time_since_restore: 15.152493000030518\n", " time_this_iter_s: 15.152493000030518\n", " time_total_s: 15.152493000030518\n", " timestamp: 1654101275\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00018\n", " warmup_time: 0.008821725845336914\n", " \n", "Result for trainable_9e7a8_00018:\n", " accuracy: 0.4855562384757222\n", " date: 2022-06-01_19-34-35\n", " done: true\n", " experiment_id: bbd1c2b5b2664d6fb2788ed0f94d3966\n", " experiment_tag: 18_k_dev=1.9703,value_type=open,window=50\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10820\n", " time_since_restore: 15.152493000030518\n", " time_this_iter_s: 15.152493000030518\n", " time_total_s: 15.152493000030518\n", " timestamp: 1654101275\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00018\n", " warmup_time: 0.008821725845336914\n", " \n", "Result for trainable_9e7a8_00014:\n", " accuracy: 0.47731691510045365\n", " date: 2022-06-01_19-34-35\n", " done: false\n", " experiment_id: 98c2ddc8e35644379aa67b29a3854518\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10705\n", " time_since_restore: 16.20167064666748\n", " time_this_iter_s: 16.20167064666748\n", " time_total_s: 16.20167064666748\n", " timestamp: 1654101275\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00014\n", " warmup_time: 0.005467653274536133\n", " \n", "Result for trainable_9e7a8_00014:\n", " accuracy: 0.47731691510045365\n", " date: 2022-06-01_19-34-35\n", " done: true\n", " experiment_id: 98c2ddc8e35644379aa67b29a3854518\n", " experiment_tag: 14_k_dev=1.5201,value_type=low,window=65\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10705\n", " time_since_restore: 16.20167064666748\n", " time_this_iter_s: 16.20167064666748\n", " time_total_s: 16.20167064666748\n", " timestamp: 1654101275\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00014\n", " warmup_time: 0.005467653274536133\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:34:36,008\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00028\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00017:\n", " accuracy: 0.4887459807073955\n", " date: 2022-06-01_19-34-36\n", " done: false\n", " experiment_id: 124fd42fb2be4130bfb31bce3955b460\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10791\n", " time_since_restore: 15.400557518005371\n", " time_this_iter_s: 15.400557518005371\n", " time_total_s: 15.400557518005371\n", " timestamp: 1654101276\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00017\n", " warmup_time: 0.007220745086669922\n", " \n", "Result for trainable_9e7a8_00017:\n", " accuracy: 0.4887459807073955\n", " date: 2022-06-01_19-34-36\n", " done: true\n", " experiment_id: 124fd42fb2be4130bfb31bce3955b460\n", " experiment_tag: 17_k_dev=2.9332,value_type=high,window=95\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10791\n", " time_since_restore: 15.400557518005371\n", " time_this_iter_s: 15.400557518005371\n", " time_total_s: 15.400557518005371\n", " timestamp: 1654101276\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00017\n", " warmup_time: 0.007220745086669922\n", " \n", "Result for trainable_9e7a8_00022:\n", " accuracy: 0.5232974910394266\n", " date: 2022-06-01_19-34-36\n", " done: false\n", " experiment_id: 1ed3ffcd32a54b43b15fadb717fa8b03\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10851\n", " time_since_restore: 16.078017473220825\n", " time_this_iter_s: 16.078017473220825\n", " time_total_s: 16.078017473220825\n", " timestamp: 1654101276\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00022\n", " warmup_time: 0.010663270950317383\n", " \n", "Result for trainable_9e7a8_00022:\n", " accuracy: 0.5232974910394266\n", " date: 2022-06-01_19-34-36\n", " done: true\n", " experiment_id: 1ed3ffcd32a54b43b15fadb717fa8b03\n", " experiment_tag: 22_k_dev=2.9816,value_type=low,window=40\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10851\n", " time_since_restore: 16.078017473220825\n", " time_this_iter_s: 16.078017473220825\n", " time_total_s: 16.078017473220825\n", " timestamp: 1654101276\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00022\n", " warmup_time: 0.010663270950317383\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:34:36,935\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00029\n", "2022-06-01 19:34:36,974\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00030\n", "2022-06-01 19:34:37,004\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00031\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00015:\n", " accuracy: 0.46335927367055774\n", " date: 2022-06-01_19-34-36\n", " done: false\n", " experiment_id: e84d4c0d12a249888656f4d05d0ca15e\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10718\n", " time_since_restore: 17.18942403793335\n", " time_this_iter_s: 17.18942403793335\n", " time_total_s: 17.18942403793335\n", " timestamp: 1654101276\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00015\n", " warmup_time: 0.006697416305541992\n", " \n", "Result for trainable_9e7a8_00015:\n", " accuracy: 0.46335927367055774\n", " date: 2022-06-01_19-34-36\n", " done: true\n", " experiment_id: e84d4c0d12a249888656f4d05d0ca15e\n", " experiment_tag: 15_k_dev=1.5003,value_type=high,window=30\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10718\n", " time_since_restore: 17.18942403793335\n", " time_this_iter_s: 17.18942403793335\n", " time_total_s: 17.18942403793335\n", " timestamp: 1654101276\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00015\n", " warmup_time: 0.006697416305541992\n", " \n", "Result for trainable_9e7a8_00021:\n", " accuracy: 0.4594293357111012\n", " date: 2022-06-01_19-34-37\n", " done: false\n", " experiment_id: 1030124ef9d242f59f71b692f6ea69b2\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10832\n", " time_since_restore: 17.364789485931396\n", " time_this_iter_s: 17.364789485931396\n", " time_total_s: 17.364789485931396\n", " timestamp: 1654101277\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00021\n", " warmup_time: 0.006062030792236328\n", " \n", "Result for trainable_9e7a8_00021:\n", " accuracy: 0.4594293357111012\n", " date: 2022-06-01_19-34-37\n", " done: true\n", " experiment_id: 1030124ef9d242f59f71b692f6ea69b2\n", " experiment_tag: 21_k_dev=1.1857,value_type=open,window=85\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10832\n", " time_since_restore: 17.364789485931396\n", " time_this_iter_s: 17.364789485931396\n", " time_total_s: 17.364789485931396\n", " timestamp: 1654101277\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00021\n", " warmup_time: 0.006062030792236328\n", " \n", "Result for trainable_9e7a8_00020:\n", " accuracy: 0.4541328236980411\n", " date: 2022-06-01_19-34-37\n", " done: false\n", " experiment_id: a960db88989a4dd68719193685d3bae9\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10827\n", " time_since_restore: 17.48743748664856\n", " time_this_iter_s: 17.48743748664856\n", " time_total_s: 17.48743748664856\n", " timestamp: 1654101277\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00020\n", " warmup_time: 0.00461578369140625\n", " \n", "Result for trainable_9e7a8_00020:\n", " accuracy: 0.4541328236980411\n", " date: 2022-06-01_19-34-37\n", " done: true\n", " experiment_id: a960db88989a4dd68719193685d3bae9\n", " experiment_tag: 20_k_dev=1.2511,value_type=high,window=30\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10827\n", " time_since_restore: 17.48743748664856\n", " time_this_iter_s: 17.48743748664856\n", " time_total_s: 17.48743748664856\n", " timestamp: 1654101277\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00020\n", " warmup_time: 0.00461578369140625\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "IOPub data rate exceeded.\n", "The notebook server will temporarily stop sending output\n", "to the client in order to avoid crashing it.\n", "To change this limit, set the config variable\n", "`--NotebookApp.iopub_data_rate_limit`.\n", "\n", "Current values:\n", "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", "NotebookApp.rate_limit_window=3.0 (secs)\n", "\n" ] }, { "data": { "text/html": [ "== Status ==
Current time: 2022-06-01 19:34:41 (running for 00:00:50.22)
Memory usage on this node: 12.0/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 9.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00016 with accuracy=0.5555555555555556 and parameters={'window': 70, 'value_type': 'low', 'k_dev': 3.8277095850346097}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 48/100 (16 PENDING, 9 RUNNING, 23 TERMINATED)
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00023RUNNING 192.168.1.14:108531.12381close 10
trainable_9e7a8_00024RUNNING 192.168.1.14:112122.37796open 30
trainable_9e7a8_00025RUNNING 192.168.1.14:112773.76634open 80
trainable_9e7a8_00026RUNNING 192.168.1.14:112781.58155low 85
trainable_9e7a8_00027RUNNING 192.168.1.14:112832.00967open 90
trainable_9e7a8_00028RUNNING 192.168.1.14:112863.50349low 60
trainable_9e7a8_00029RUNNING 192.168.1.14:113653.12407open 65
trainable_9e7a8_00032PENDING 2.71263close 20
trainable_9e7a8_00033PENDING 1.61494close 15
trainable_9e7a8_00034PENDING 2.25605open 75
trainable_9e7a8_00035PENDING 1.19443high 95
trainable_9e7a8_00036PENDING 2.10051open 70
trainable_9e7a8_00037PENDING 2.1924 close 80
trainable_9e7a8_00038PENDING 3.33683low 80
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 28 more trials not shown (2 RUNNING, 9 PENDING, 16 TERMINATED)

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:34:41,582\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00032\n", "2022-06-01 19:34:41,628\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00033\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00023:\n", " accuracy: 0.4529396921524098\n", " date: 2022-06-01_19-34-38\n", " done: false\n", " experiment_id: 6675f1f46eaf4e10a950e564e24a23e6\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10853\n", " time_since_restore: 17.483032703399658\n", " time_this_iter_s: 17.483032703399658\n", " time_total_s: 17.483032703399658\n", " timestamp: 1654101278\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00023\n", " warmup_time: 0.007616519927978516\n", " \n", "Result for trainable_9e7a8_00023:\n", " accuracy: 0.4529396921524098\n", " date: 2022-06-01_19-34-38\n", " done: true\n", " experiment_id: 6675f1f46eaf4e10a950e564e24a23e6\n", " experiment_tag: 23_k_dev=1.1238,value_type=close,window=10\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 10853\n", " time_since_restore: 17.483032703399658\n", " time_this_iter_s: 17.483032703399658\n", " time_total_s: 17.483032703399658\n", " timestamp: 1654101278\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00023\n", " warmup_time: 0.007616519927978516\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:34:41,962\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00034\n", "2022-06-01 19:34:42,005\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00035\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00024:\n", " accuracy: 0.49518716577540106\n", " date: 2022-06-01_19-34-45\n", " done: false\n", " experiment_id: 82ae1d7ce6ee493e8675bce3d400fc7a\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11212\n", " time_since_restore: 13.099290132522583\n", " time_this_iter_s: 13.099290132522583\n", " time_total_s: 13.099290132522583\n", " timestamp: 1654101285\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00024\n", " warmup_time: 0.004574775695800781\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "IOPub data rate exceeded.\n", "The notebook server will temporarily stop sending output\n", "to the client in order to avoid crashing it.\n", "To change this limit, set the config variable\n", "`--NotebookApp.iopub_data_rate_limit`.\n", "\n", "Current values:\n", "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", "NotebookApp.rate_limit_window=3.0 (secs)\n", "\n" ] }, { "data": { "text/html": [ "== Status ==
Current time: 2022-06-01 19:34:47 (running for 00:00:56.56)
Memory usage on this node: 12.3/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00016 with accuracy=0.5555555555555556 and parameters={'window': 70, 'value_type': 'low', 'k_dev': 3.8277095850346097}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 52/100 (16 PENDING, 12 RUNNING, 24 TERMINATED)
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00024RUNNING 192.168.1.14:112122.37796open 30 1 13.0993 0.495187
trainable_9e7a8_00025RUNNING 192.168.1.14:112773.76634open 80
trainable_9e7a8_00026RUNNING 192.168.1.14:112781.58155low 85
trainable_9e7a8_00027RUNNING 192.168.1.14:112832.00967open 90
trainable_9e7a8_00028RUNNING 192.168.1.14:112863.50349low 60
trainable_9e7a8_00029RUNNING 192.168.1.14:113653.12407open 65
trainable_9e7a8_00030RUNNING 192.168.1.14:113672.93617high 60
trainable_9e7a8_00036PENDING 2.10051open 70
trainable_9e7a8_00037PENDING 2.1924 close 80
trainable_9e7a8_00038PENDING 3.33683low 80
trainable_9e7a8_00039PENDING 2.42366open 95
trainable_9e7a8_00040PENDING 3.82909low 20
trainable_9e7a8_00041PENDING 1.00435low 40
trainable_9e7a8_00042PENDING 2.13066close 45
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 32 more trials not shown (5 RUNNING, 9 PENDING, 17 TERMINATED)

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "IOPub data rate exceeded.\n", "The notebook server will temporarily stop sending output\n", "to the client in order to avoid crashing it.\n", "To change this limit, set the config variable\n", "`--NotebookApp.iopub_data_rate_limit`.\n", "\n", "Current values:\n", "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", "NotebookApp.rate_limit_window=3.0 (secs)\n", "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00024:\n", " accuracy: 0.49518716577540106\n", " date: 2022-06-01_19-34-45\n", " done: true\n", " experiment_id: 82ae1d7ce6ee493e8675bce3d400fc7a\n", " experiment_tag: 24_k_dev=2.378,value_type=open,window=30\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11212\n", " time_since_restore: 13.099290132522583\n", " time_this_iter_s: 13.099290132522583\n", " time_total_s: 13.099290132522583\n", " timestamp: 1654101285\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00024\n", " warmup_time: 0.004574775695800781\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:34:49,045\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00036\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00025:\n", " accuracy: 0.5394736842105263\n", " date: 2022-06-01_19-34-53\n", " done: false\n", " experiment_id: 47cb2440acab44fd822ed5089c6e9c49\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11277\n", " time_since_restore: 14.249480247497559\n", " time_this_iter_s: 14.249480247497559\n", " time_total_s: 14.249480247497559\n", " timestamp: 1654101293\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00025\n", " warmup_time: 0.00903463363647461\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "IOPub data rate exceeded.\n", "The notebook server will temporarily stop sending output\n", "to the client in order to avoid crashing it.\n", "To change this limit, set the config variable\n", "`--NotebookApp.iopub_data_rate_limit`.\n", "\n", "Current values:\n", "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", "NotebookApp.rate_limit_window=3.0 (secs)\n", "\n" ] }, { "data": { "text/html": [ "== Status ==
Current time: 2022-06-01 19:34:54 (running for 00:01:03.01)
Memory usage on this node: 12.3/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00016 with accuracy=0.5555555555555556 and parameters={'window': 70, 'value_type': 'low', 'k_dev': 3.8277095850346097}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 53/100 (16 PENDING, 12 RUNNING, 25 TERMINATED)
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00025RUNNING 192.168.1.14:112773.76634open 80 1 14.2495 0.539474
trainable_9e7a8_00026RUNNING 192.168.1.14:112781.58155low 85
trainable_9e7a8_00027RUNNING 192.168.1.14:112832.00967open 90
trainable_9e7a8_00028RUNNING 192.168.1.14:112863.50349low 60
trainable_9e7a8_00029RUNNING 192.168.1.14:113653.12407open 65
trainable_9e7a8_00030RUNNING 192.168.1.14:113672.93617high 60
trainable_9e7a8_00031RUNNING 192.168.1.14:113692.56237high 40
trainable_9e7a8_00037PENDING 2.1924 close 80
trainable_9e7a8_00038PENDING 3.33683low 80
trainable_9e7a8_00039PENDING 2.42366open 95
trainable_9e7a8_00040PENDING 3.82909low 20
trainable_9e7a8_00041PENDING 1.00435low 40
trainable_9e7a8_00042PENDING 2.13066close 45
trainable_9e7a8_00043PENDING 3.78005low 70
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 33 more trials not shown (5 RUNNING, 9 PENDING, 18 TERMINATED)

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00028:\n", " accuracy: 0.5204081632653061\n", " date: 2022-06-01_19-34-53\n", " done: false\n", " experiment_id: 0882929c199d4878b9b117a5abddf001\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11286\n", " time_since_restore: 13.5071702003479\n", " time_this_iter_s: 13.5071702003479\n", " time_total_s: 13.5071702003479\n", " timestamp: 1654101293\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00028\n", " warmup_time: 0.0036194324493408203\n", " \n", "Result for trainable_9e7a8_00027:\n", " accuracy: 0.49630624580255206\n", " date: 2022-06-01_19-34-53\n", " done: false\n", " experiment_id: eda8276c93f247629c8ac087b30d2382\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11283\n", " time_since_restore: 14.29230809211731\n", " time_this_iter_s: 14.29230809211731\n", " time_total_s: 14.29230809211731\n", " timestamp: 1654101293\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00027\n", " warmup_time: 0.004743337631225586\n", " \n", "Result for trainable_9e7a8_00027:\n", " accuracy: 0.49630624580255206\n", " date: 2022-06-01_19-34-53\n", " done: true\n", " experiment_id: eda8276c93f247629c8ac087b30d2382\n", " experiment_tag: 27_k_dev=2.0097,value_type=open,window=90\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11283\n", " time_since_restore: 14.29230809211731\n", " time_this_iter_s: 14.29230809211731\n", " time_total_s: 14.29230809211731\n", " timestamp: 1654101293\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00027\n", " warmup_time: 0.004743337631225586\n", " \n", "Result for trainable_9e7a8_00028:\n", " accuracy: 0.5204081632653061\n", " date: 2022-06-01_19-34-53\n", " done: true\n", " experiment_id: 0882929c199d4878b9b117a5abddf001\n", " experiment_tag: 28_k_dev=3.5035,value_type=low,window=60\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11286\n", " time_since_restore: 13.5071702003479\n", " time_this_iter_s: 13.5071702003479\n", " time_total_s: 13.5071702003479\n", " timestamp: 1654101293\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00028\n", " warmup_time: 0.0036194324493408203\n", " \n", "Result for trainable_9e7a8_00025:\n", " accuracy: 0.5394736842105263\n", " date: 2022-06-01_19-34-53\n", " done: true\n", " experiment_id: 47cb2440acab44fd822ed5089c6e9c49\n", " experiment_tag: 25_k_dev=3.7663,value_type=open,window=80\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11277\n", " time_since_restore: 14.249480247497559\n", " time_this_iter_s: 14.249480247497559\n", " time_total_s: 14.249480247497559\n", " timestamp: 1654101293\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00025\n", " warmup_time: 0.00903463363647461\n", " \n", "Result for trainable_9e7a8_00026:\n", " accuracy: 0.4725121781489214\n", " date: 2022-06-01_19-34-54\n", " done: false\n", " experiment_id: c28c935754aa4f2fa230eff702a30abc\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11278\n", " time_since_restore: 15.291823148727417\n", " time_this_iter_s: 15.291823148727417\n", " time_total_s: 15.291823148727417\n", " timestamp: 1654101294\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00026\n", " warmup_time: 0.00337982177734375\n", " \n", "Result for trainable_9e7a8_00026:\n", " accuracy: 0.4725121781489214\n", " date: 2022-06-01_19-34-54\n", " done: true\n", " experiment_id: c28c935754aa4f2fa230eff702a30abc\n", " experiment_tag: 26_k_dev=1.5816,value_type=low,window=85\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11278\n", " time_since_restore: 15.291823148727417\n", " time_this_iter_s: 15.291823148727417\n", " time_total_s: 15.291823148727417\n", " timestamp: 1654101294\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00026\n", " warmup_time: 0.00337982177734375\n", " \n", "Result for trainable_9e7a8_00029:\n", " accuracy: 0.5289256198347108\n", " date: 2022-06-01_19-34-55\n", " done: false\n", " experiment_id: 605e41d8d7964989b2abc019fe9caecf\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11365\n", " time_since_restore: 14.431620359420776\n", " time_this_iter_s: 14.431620359420776\n", " time_total_s: 14.431620359420776\n", " timestamp: 1654101295\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00029\n", " warmup_time: 0.0033860206604003906\n", " \n", "Result for trainable_9e7a8_00029:\n", " accuracy: 0.5289256198347108\n", " date: 2022-06-01_19-34-55\n", " done: true\n", " experiment_id: 605e41d8d7964989b2abc019fe9caecf\n", " experiment_tag: 29_k_dev=3.1241,value_type=open,window=65\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11365\n", " time_since_restore: 14.431620359420776\n", " time_this_iter_s: 14.431620359420776\n", " time_total_s: 14.431620359420776\n", " timestamp: 1654101295\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00029\n", " warmup_time: 0.0033860206604003906\n", " \n", "Result for trainable_9e7a8_00031:\n", " accuracy: 0.45229007633587787\n", " date: 2022-06-01_19-34-55\n", " done: false\n", " experiment_id: 9515ffaf5067434cb2a8800410bfd04b\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11369\n", " time_since_restore: 14.678828954696655\n", " time_this_iter_s: 14.678828954696655\n", " time_total_s: 14.678828954696655\n", " timestamp: 1654101295\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00031\n", " warmup_time: 0.0055849552154541016\n", " \n", "Result for trainable_9e7a8_00031:\n", " accuracy: 0.45229007633587787\n", " date: 2022-06-01_19-34-55\n", " done: true\n", " experiment_id: 9515ffaf5067434cb2a8800410bfd04b\n", " experiment_tag: 31_k_dev=2.5624,value_type=high,window=40\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11369\n", " time_since_restore: 14.678828954696655\n", " time_this_iter_s: 14.678828954696655\n", " time_total_s: 14.678828954696655\n", " timestamp: 1654101295\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00031\n", " warmup_time: 0.0055849552154541016\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:34:55,863\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00037\n", "2022-06-01 19:34:55,902\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00038\n", "2022-06-01 19:34:55,926\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00039\n", "2022-06-01 19:34:55,959\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00040\n", "2022-06-01 19:34:55,993\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00041\n", "2022-06-01 19:34:56,123\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00042\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00030:\n", " accuracy: 0.4820717131474104\n", " date: 2022-06-01_19-34-56\n", " done: false\n", " experiment_id: b3c577e7d4ba4e2a84ec8035ccdf983e\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11367\n", " time_since_restore: 14.844868898391724\n", " time_this_iter_s: 14.844868898391724\n", " time_total_s: 14.844868898391724\n", " timestamp: 1654101296\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00030\n", " warmup_time: 0.005486965179443359\n", " \n", "Result for trainable_9e7a8_00030:\n", " accuracy: 0.4820717131474104\n", " date: 2022-06-01_19-34-56\n", " done: true\n", " experiment_id: b3c577e7d4ba4e2a84ec8035ccdf983e\n", " experiment_tag: 30_k_dev=2.9362,value_type=high,window=60\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11367\n", " time_since_restore: 14.844868898391724\n", " time_this_iter_s: 14.844868898391724\n", " time_total_s: 14.844868898391724\n", " timestamp: 1654101296\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00030\n", " warmup_time: 0.005486965179443359\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:34:56,966\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00043\n", "IOPub data rate exceeded.\n", "The notebook server will temporarily stop sending output\n", "to the client in order to avoid crashing it.\n", "To change this limit, set the config variable\n", "`--NotebookApp.iopub_data_rate_limit`.\n", "\n", "Current values:\n", "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", "NotebookApp.rate_limit_window=3.0 (secs)\n", "\n" ] }, { "data": { "text/html": [ "== Status ==
Current time: 2022-06-01 19:35:02 (running for 00:01:11.19)
Memory usage on this node: 12.6/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00016 with accuracy=0.5555555555555556 and parameters={'window': 70, 'value_type': 'low', 'k_dev': 3.8277095850346097}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 60/100 (16 PENDING, 12 RUNNING, 32 TERMINATED)
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00032RUNNING 192.168.1.14:115422.71263close 20 1 14.4148 0.505119
trainable_9e7a8_00033RUNNING 192.168.1.14:115451.61494close 15
trainable_9e7a8_00034RUNNING 192.168.1.14:115482.25605open 75
trainable_9e7a8_00035RUNNING 192.168.1.14:115491.19443high 95
trainable_9e7a8_00036RUNNING 192.168.1.14:117052.10051open 70
trainable_9e7a8_00037RUNNING 192.168.1.14:118032.1924 close 80
trainable_9e7a8_00038RUNNING 192.168.1.14:118203.33683low 80
trainable_9e7a8_00044PENDING 1.43104close 65
trainable_9e7a8_00045PENDING 2.24024open 65
trainable_9e7a8_00046PENDING 2.34936open 5
trainable_9e7a8_00047PENDING 3.95935open 55
trainable_9e7a8_00048PENDING 2.62893high 90
trainable_9e7a8_00049PENDING 2.98399close 55
trainable_9e7a8_00050PENDING 3.40408close 10
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 40 more trials not shown (5 RUNNING, 9 PENDING, 25 TERMINATED)

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "IOPub data rate exceeded.\n", "The notebook server will temporarily stop sending output\n", "to the client in order to avoid crashing it.\n", "To change this limit, set the config variable\n", "`--NotebookApp.iopub_data_rate_limit`.\n", "\n", "Current values:\n", "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", "NotebookApp.rate_limit_window=3.0 (secs)\n", "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00033:\n", " accuracy: 0.48287506029908345\n", " date: 2022-06-01_19-35-01\n", " done: true\n", " experiment_id: 72a7abc2eb9146ba8e5c09212fbaa3fa\n", " experiment_tag: 33_k_dev=1.6149,value_type=close,window=15\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11545\n", " time_since_restore: 15.1469144821167\n", " time_this_iter_s: 15.1469144821167\n", " time_total_s: 15.1469144821167\n", " timestamp: 1654101301\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00033\n", " warmup_time: 0.0038747787475585938\n", " \n", "Result for trainable_9e7a8_00034:\n", " accuracy: 0.49657198824681686\n", " date: 2022-06-01_19-35-03\n", " done: false\n", " experiment_id: 4752525a18c7492e9fc6d6f0a50502d7\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11548\n", " time_since_restore: 15.908806800842285\n", " time_this_iter_s: 15.908806800842285\n", " time_total_s: 15.908806800842285\n", " timestamp: 1654101303\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00034\n", " warmup_time: 0.009506464004516602\n", " \n", "Result for trainable_9e7a8_00034:\n", " accuracy: 0.49657198824681686\n", " date: 2022-06-01_19-35-03\n", " done: true\n", " experiment_id: 4752525a18c7492e9fc6d6f0a50502d7\n", " experiment_tag: 34_k_dev=2.256,value_type=open,window=75\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11548\n", " time_since_restore: 15.908806800842285\n", " time_this_iter_s: 15.908806800842285\n", " time_total_s: 15.908806800842285\n", " timestamp: 1654101303\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00034\n", " warmup_time: 0.009506464004516602\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:35:04,071\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00044\n", "2022-06-01 19:35:04,112\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00045\n", "2022-06-01 19:35:04,160\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00046\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00035:\n", " accuracy: 0.45585874799357945\n", " date: 2022-06-01_19-35-05\n", " done: false\n", " experiment_id: 1694cadd332843a6a40865444a843b6a\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11549\n", " time_since_restore: 17.696004152297974\n", " time_this_iter_s: 17.696004152297974\n", " time_total_s: 17.696004152297974\n", " timestamp: 1654101305\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00035\n", " warmup_time: 0.016307592391967773\n", " \n", "Result for trainable_9e7a8_00035:\n", " accuracy: 0.45585874799357945\n", " date: 2022-06-01_19-35-05\n", " done: true\n", " experiment_id: 1694cadd332843a6a40865444a843b6a\n", " experiment_tag: 35_k_dev=1.1944,value_type=high,window=95\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11549\n", " time_since_restore: 17.696004152297974\n", " time_this_iter_s: 17.696004152297974\n", " time_total_s: 17.696004152297974\n", " timestamp: 1654101305\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00035\n", " warmup_time: 0.016307592391967773\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:35:05,969\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00047\n", "IOPub data rate exceeded.\n", "The notebook server will temporarily stop sending output\n", "to the client in order to avoid crashing it.\n", "To change this limit, set the config variable\n", "`--NotebookApp.iopub_data_rate_limit`.\n", "\n", "Current values:\n", "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", "NotebookApp.rate_limit_window=3.0 (secs)\n", "\n" ] }, { "data": { "text/html": [ "== Status ==
Current time: 2022-06-01 19:35:11 (running for 00:01:20.30)
Memory usage on this node: 12.6/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00016 with accuracy=0.5555555555555556 and parameters={'window': 70, 'value_type': 'low', 'k_dev': 3.8277095850346097}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 63/100 (15 PENDING, 12 RUNNING, 36 TERMINATED)
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00036RUNNING 192.168.1.14:117052.10051open 70
trainable_9e7a8_00037RUNNING 192.168.1.14:118032.1924 close 80
trainable_9e7a8_00038RUNNING 192.168.1.14:118203.33683low 80
trainable_9e7a8_00039RUNNING 192.168.1.14:118342.42366open 95
trainable_9e7a8_00040RUNNING 192.168.1.14:118423.82909low 20
trainable_9e7a8_00041RUNNING 192.168.1.14:118441.00435low 40
trainable_9e7a8_00042RUNNING 192.168.1.14:118582.13066close 45
trainable_9e7a8_00048PENDING 2.62893high 90
trainable_9e7a8_00049PENDING 2.98399close 55
trainable_9e7a8_00050PENDING 3.40408close 10
trainable_9e7a8_00051PENDING 1.63469open 15
trainable_9e7a8_00052PENDING 1.55978close 60
trainable_9e7a8_00053PENDING 2.58736high 35
trainable_9e7a8_00054PENDING 1.46559low 50
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 43 more trials not shown (5 RUNNING, 8 PENDING, 29 TERMINATED)

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00036:\n", " accuracy: 0.4790732436472347\n", " date: 2022-06-01_19-35-09\n", " done: false\n", " experiment_id: daa35894c08f4289a2c2a28ba28251e5\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11705\n", " time_since_restore: 15.722806215286255\n", " time_this_iter_s: 15.722806215286255\n", " time_total_s: 15.722806215286255\n", " timestamp: 1654101309\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00036\n", " warmup_time: 0.003968477249145508\n", " \n" ] }, { "data": { "text/html": [ "== Status ==
Current time: 2022-06-01 19:35:11 (running for 00:01:20.57)
Memory usage on this node: 12.6/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00016 with accuracy=0.5555555555555556 and parameters={'window': 70, 'value_type': 'low', 'k_dev': 3.8277095850346097}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 64/100 (16 PENDING, 12 RUNNING, 36 TERMINATED)
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00036RUNNING 192.168.1.14:117052.10051open 70 1 15.7228 0.479073
trainable_9e7a8_00037RUNNING 192.168.1.14:118032.1924 close 80
trainable_9e7a8_00038RUNNING 192.168.1.14:118203.33683low 80
trainable_9e7a8_00039RUNNING 192.168.1.14:118342.42366open 95
trainable_9e7a8_00040RUNNING 192.168.1.14:118423.82909low 20
trainable_9e7a8_00041RUNNING 192.168.1.14:118441.00435low 40
trainable_9e7a8_00042RUNNING 192.168.1.14:118582.13066close 45
trainable_9e7a8_00048PENDING 2.62893high 90
trainable_9e7a8_00049PENDING 2.98399close 55
trainable_9e7a8_00050PENDING 3.40408close 10
trainable_9e7a8_00051PENDING 1.63469open 15
trainable_9e7a8_00052PENDING 1.55978close 60
trainable_9e7a8_00053PENDING 2.58736high 35
trainable_9e7a8_00054PENDING 1.46559low 50
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 44 more trials not shown (5 RUNNING, 9 PENDING, 29 TERMINATED)

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00036:\n", " accuracy: 0.4790732436472347\n", " date: 2022-06-01_19-35-09\n", " done: true\n", " experiment_id: daa35894c08f4289a2c2a28ba28251e5\n", " experiment_tag: 36_k_dev=2.1005,value_type=open,window=70\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11705\n", " time_since_restore: 15.722806215286255\n", " time_this_iter_s: 15.722806215286255\n", " time_total_s: 15.722806215286255\n", " timestamp: 1654101309\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00036\n", " warmup_time: 0.003968477249145508\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:35:13,191\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00048\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00040:\n", " accuracy: 0.5271317829457365\n", " date: 2022-06-01_19-35-15\n", " done: false\n", " experiment_id: d0c8ead9b7334dc2bd05e36c89dff5ce\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11842\n", " time_since_restore: 14.479460716247559\n", " time_this_iter_s: 14.479460716247559\n", " time_total_s: 14.479460716247559\n", " timestamp: 1654101315\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00040\n", " warmup_time: 0.005458354949951172\n", " \n", "Result for trainable_9e7a8_00040:\n", " accuracy: 0.5271317829457365\n", " date: 2022-06-01_19-35-15\n", " done: true\n", " experiment_id: d0c8ead9b7334dc2bd05e36c89dff5ce\n", " experiment_tag: 40_k_dev=3.8291,value_type=low,window=20\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11842\n", " time_since_restore: 14.479460716247559\n", " time_this_iter_s: 14.479460716247559\n", " time_total_s: 14.479460716247559\n", " timestamp: 1654101315\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00040\n", " warmup_time: 0.005458354949951172\n", " \n", "Result for trainable_9e7a8_00039:\n", " accuracy: 0.511318242343542\n", " date: 2022-06-01_19-35-16\n", " done: false\n", " experiment_id: 1d557ac66ae446f38f38ec0b8b245ba5\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11834\n", " time_since_restore: 15.016530990600586\n", " time_this_iter_s: 15.016530990600586\n", " time_total_s: 15.016530990600586\n", " timestamp: 1654101316\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00039\n", " warmup_time: 0.010867118835449219\n", " \n", "Result for trainable_9e7a8_00039:\n", " accuracy: 0.511318242343542\n", " date: 2022-06-01_19-35-16\n", " done: true\n", " experiment_id: 1d557ac66ae446f38f38ec0b8b245ba5\n", " experiment_tag: 39_k_dev=2.4237,value_type=open,window=95\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11834\n", " time_since_restore: 15.016530990600586\n", " time_this_iter_s: 15.016530990600586\n", " time_total_s: 15.016530990600586\n", " timestamp: 1654101316\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00039\n", " warmup_time: 0.010867118835449219\n", " \n", "Result for trainable_9e7a8_00042:\n", " accuracy: 0.48770894788593905\n", " date: 2022-06-01_19-35-16\n", " done: false\n", " experiment_id: 4edf9b8f4ead4bd98ff0831e874863e4\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11858\n", " time_since_restore: 15.049045085906982\n", " time_this_iter_s: 15.049045085906982\n", " time_total_s: 15.049045085906982\n", " timestamp: 1654101316\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00042\n", " warmup_time: 0.013311624526977539\n", " \n", "Result for trainable_9e7a8_00042:\n", " accuracy: 0.48770894788593905\n", " date: 2022-06-01_19-35-16\n", " done: true\n", " experiment_id: 4edf9b8f4ead4bd98ff0831e874863e4\n", " experiment_tag: 42_k_dev=2.1307,value_type=close,window=45\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11858\n", " time_since_restore: 15.049045085906982\n", " time_this_iter_s: 15.049045085906982\n", " time_total_s: 15.049045085906982\n", " timestamp: 1654101316\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00042\n", " warmup_time: 0.013311624526977539\n", " \n", "Result for trainable_9e7a8_00038:\n", " accuracy: 0.5743243243243243\n", " date: 2022-06-01_19-35-16\n", " done: false\n", " experiment_id: a266d42f6f4e4e519b19fd62c9a6bd09\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11820\n", " time_since_restore: 15.951253652572632\n", " time_this_iter_s: 15.951253652572632\n", " time_total_s: 15.951253652572632\n", " timestamp: 1654101316\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00038\n", " warmup_time: 0.0055162906646728516\n", " \n", "Result for trainable_9e7a8_00038:\n", " accuracy: 0.5743243243243243\n", " date: 2022-06-01_19-35-16\n", " done: true\n", " experiment_id: a266d42f6f4e4e519b19fd62c9a6bd09\n", " experiment_tag: 38_k_dev=3.3368,value_type=low,window=80\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11820\n", " time_since_restore: 15.951253652572632\n", " time_this_iter_s: 15.951253652572632\n", " time_total_s: 15.951253652572632\n", " timestamp: 1654101316\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00038\n", " warmup_time: 0.0055162906646728516\n", " \n", "Result for trainable_9e7a8_00037:\n", " accuracy: 0.48705179282868527\n", " date: 2022-06-01_19-35-16\n", " done: false\n", " experiment_id: 23e9a939b7b341639e36eaf7352b4ff6\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11803\n", " time_since_restore: 15.124496698379517\n", " time_this_iter_s: 15.124496698379517\n", " time_total_s: 15.124496698379517\n", " timestamp: 1654101316\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00037\n", " warmup_time: 0.006184577941894531\n", " \n", "Result for trainable_9e7a8_00037:\n", " accuracy: 0.48705179282868527\n", " date: 2022-06-01_19-35-16\n", " done: true\n", " experiment_id: 23e9a939b7b341639e36eaf7352b4ff6\n", " experiment_tag: 37_k_dev=2.1924,value_type=close,window=80\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11803\n", " time_since_restore: 15.124496698379517\n", " time_this_iter_s: 15.124496698379517\n", " time_total_s: 15.124496698379517\n", " timestamp: 1654101316\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00037\n", " warmup_time: 0.006184577941894531\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:35:16,693\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00049\n", "IOPub data rate exceeded.\n", "The notebook server will temporarily stop sending output\n", "to the client in order to avoid crashing it.\n", "To change this limit, set the config variable\n", "`--NotebookApp.iopub_data_rate_limit`.\n", "\n", "Current values:\n", "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", "NotebookApp.rate_limit_window=3.0 (secs)\n", "\n" ] }, { "data": { "text/html": [ "== Status ==
Current time: 2022-06-01 19:35:20 (running for 00:01:29.34)
Memory usage on this node: 12.2/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 8.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00038 with accuracy=0.5743243243243243 and parameters={'window': 80, 'value_type': 'low', 'k_dev': 3.3368279156307263}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 65/100 (15 PENDING, 8 RUNNING, 42 TERMINATED)
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00041RUNNING 192.168.1.14:118441.00435low 40
trainable_9e7a8_00043RUNNING 192.168.1.14:118603.78005low 70
trainable_9e7a8_00044RUNNING 192.168.1.14:121231.43104close 65
trainable_9e7a8_00045RUNNING 192.168.1.14:121412.24024open 65
trainable_9e7a8_00046RUNNING 192.168.1.14:121452.34936open 5
trainable_9e7a8_00047RUNNING 192.168.1.14:122233.95935open 55
trainable_9e7a8_00048RUNNING 192.168.1.14:123042.62893high 90
trainable_9e7a8_00050PENDING 3.40408close 10
trainable_9e7a8_00051PENDING 1.63469open 15
trainable_9e7a8_00052PENDING 1.55978close 60
trainable_9e7a8_00053PENDING 2.58736high 35
trainable_9e7a8_00054PENDING 1.46559low 50
trainable_9e7a8_00055PENDING 2.74483high 70
trainable_9e7a8_00056PENDING 2.93169open 20
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 45 more trials not shown (1 RUNNING, 8 PENDING, 35 TERMINATED)

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:35:20,517\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00050\n", "2022-06-01 19:35:20,531\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00051\n", "IOPub data rate exceeded.\n", "The notebook server will temporarily stop sending output\n", "to the client in order to avoid crashing it.\n", "To change this limit, set the config variable\n", "`--NotebookApp.iopub_data_rate_limit`.\n", "\n", "Current values:\n", "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", "NotebookApp.rate_limit_window=3.0 (secs)\n", "\n", "2022-06-01 19:35:20,609\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00052\n", "2022-06-01 19:35:20,660\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00053\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00041:\n", " accuracy: 0.4559420801695215\n", " date: 2022-06-01_19-35-18\n", " done: false\n", " experiment_id: 4e3a01830cf74d4bbacde00caf0acf99\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11844\n", " time_since_restore: 17.168471574783325\n", " time_this_iter_s: 17.168471574783325\n", " time_total_s: 17.168471574783325\n", " timestamp: 1654101318\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00041\n", " warmup_time: 0.006995439529418945\n", " \n", "Result for trainable_9e7a8_00043:\n", " accuracy: 0.55\n", " date: 2022-06-01_19-35-17\n", " done: false\n", " experiment_id: 750e296811534dfb971470074e788537\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11860\n", " time_since_restore: 14.797376871109009\n", " time_this_iter_s: 14.797376871109009\n", " time_total_s: 14.797376871109009\n", " timestamp: 1654101317\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00043\n", " warmup_time: 0.005739450454711914\n", " \n", "Result for trainable_9e7a8_00041:\n", " accuracy: 0.4559420801695215\n", " date: 2022-06-01_19-35-18\n", " done: true\n", " experiment_id: 4e3a01830cf74d4bbacde00caf0acf99\n", " experiment_tag: 41_k_dev=1.0043,value_type=low,window=40\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11844\n", " time_since_restore: 17.168471574783325\n", " time_this_iter_s: 17.168471574783325\n", " time_total_s: 17.168471574783325\n", " timestamp: 1654101318\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00041\n", " warmup_time: 0.006995439529418945\n", " \n", "Result for trainable_9e7a8_00043:\n", " accuracy: 0.55\n", " date: 2022-06-01_19-35-17\n", " done: true\n", " experiment_id: 750e296811534dfb971470074e788537\n", " experiment_tag: 43_k_dev=3.78,value_type=low,window=70\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 11860\n", " time_since_restore: 14.797376871109009\n", " time_this_iter_s: 14.797376871109009\n", " time_total_s: 14.797376871109009\n", " timestamp: 1654101317\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00043\n", " warmup_time: 0.005739450454711914\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:35:20,973\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00054\n", "2022-06-01 19:35:21,009\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00055\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00045:\n", " accuracy: 0.4852801519468186\n", " date: 2022-06-01_19-35-21\n", " done: false\n", " experiment_id: 62b7fa35c807470da7739613f2d8e43b\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 12141\n", " time_since_restore: 12.428421974182129\n", " time_this_iter_s: 12.428421974182129\n", " time_total_s: 12.428421974182129\n", " timestamp: 1654101321\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00045\n", " warmup_time: 0.004401445388793945\n", " \n", "Result for trainable_9e7a8_00045:\n", " accuracy: 0.4852801519468186\n", " date: 2022-06-01_19-35-21\n", " done: true\n", " experiment_id: 62b7fa35c807470da7739613f2d8e43b\n", " experiment_tag: 45_k_dev=2.2402,value_type=open,window=65\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 12141\n", " time_since_restore: 12.428421974182129\n", " time_this_iter_s: 12.428421974182129\n", " time_total_s: 12.428421974182129\n", " timestamp: 1654101321\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00045\n", " warmup_time: 0.004401445388793945\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:35:21,973\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00056\n", "IOPub data rate exceeded.\n", "The notebook server will temporarily stop sending output\n", "to the client in order to avoid crashing it.\n", "To change this limit, set the config variable\n", "`--NotebookApp.iopub_data_rate_limit`.\n", "\n", "Current values:\n", "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", "NotebookApp.rate_limit_window=3.0 (secs)\n", "\n" ] }, { "data": { "text/html": [ "== Status ==
Current time: 2022-06-01 19:35:26 (running for 00:01:35.47)
Memory usage on this node: 12.7/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00038 with accuracy=0.5743243243243243 and parameters={'window': 80, 'value_type': 'low', 'k_dev': 3.3368279156307263}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 72/100 (15 PENDING, 12 RUNNING, 45 TERMINATED)
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00044RUNNING 192.168.1.14:121231.43104close 65
trainable_9e7a8_00046RUNNING 192.168.1.14:121452.34936open 5
trainable_9e7a8_00047RUNNING 192.168.1.14:122233.95935open 55
trainable_9e7a8_00048RUNNING 192.168.1.14:123042.62893high 90
trainable_9e7a8_00049RUNNING 192.168.1.14:123642.98399close 55
trainable_9e7a8_00050RUNNING 192.168.1.14:124563.40408close 10
trainable_9e7a8_00051RUNNING 192.168.1.14:124581.63469open 15
trainable_9e7a8_00057PENDING 3.34213high 10
trainable_9e7a8_00058PENDING 1.98504high 60
trainable_9e7a8_00059PENDING 2.80529open 75
trainable_9e7a8_00060PENDING 1.24152close 75
trainable_9e7a8_00061PENDING 2.58144close 70
trainable_9e7a8_00062PENDING 1.61595close 85
trainable_9e7a8_00063PENDING 1.88298low 80
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 52 more trials not shown (5 RUNNING, 8 PENDING, 38 TERMINATED)

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00046:\n", " accuracy: 0.46997206703910616\n", " date: 2022-06-01_19-35-23\n", " done: false\n", " experiment_id: 7941b8b196064738920ad87807417300\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 12145\n", " time_since_restore: 13.997588396072388\n", " time_this_iter_s: 13.997588396072388\n", " time_total_s: 13.997588396072388\n", " timestamp: 1654101323\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00046\n", " warmup_time: 0.011566638946533203\n", " \n", "Result for trainable_9e7a8_00046:\n", " accuracy: 0.46997206703910616\n", " date: 2022-06-01_19-35-23\n", " done: true\n", " experiment_id: 7941b8b196064738920ad87807417300\n", " experiment_tag: 46_k_dev=2.3494,value_type=open,window=5\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 12145\n", " time_since_restore: 13.997588396072388\n", " time_this_iter_s: 13.997588396072388\n", " time_total_s: 13.997588396072388\n", " timestamp: 1654101323\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00046\n", " warmup_time: 0.011566638946533203\n", " \n", "Result for trainable_9e7a8_00044:\n", " accuracy: 0.4702558001189768\n", " date: 2022-06-01_19-35-22\n", " done: false\n", " experiment_id: acce403d631e4f8bb4d1d7fa4cc150af\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 12123\n", " time_since_restore: 13.797248363494873\n", " time_this_iter_s: 13.797248363494873\n", " time_total_s: 13.797248363494873\n", " timestamp: 1654101322\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00044\n", " warmup_time: 0.006886482238769531\n", " \n", "Result for trainable_9e7a8_00047:\n", " accuracy: 0.559322033898305\n", " date: 2022-06-01_19-35-23\n", " done: false\n", " experiment_id: 7948274e350043a2a652c3c1bcc9f67c\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 12223\n", " time_since_restore: 11.89772629737854\n", " time_this_iter_s: 11.89772629737854\n", " time_total_s: 11.89772629737854\n", " timestamp: 1654101323\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00047\n", " warmup_time: 0.0060422420501708984\n", " \n", "Result for trainable_9e7a8_00044:\n", " accuracy: 0.4702558001189768\n", " date: 2022-06-01_19-35-22\n", " done: true\n", " experiment_id: acce403d631e4f8bb4d1d7fa4cc150af\n", " experiment_tag: 44_k_dev=1.431,value_type=close,window=65\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 12123\n", " time_since_restore: 13.797248363494873\n", " time_this_iter_s: 13.797248363494873\n", " time_total_s: 13.797248363494873\n", " timestamp: 1654101322\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00044\n", " warmup_time: 0.006886482238769531\n", " \n", "Result for trainable_9e7a8_00047:\n", " accuracy: 0.559322033898305\n", " date: 2022-06-01_19-35-23\n", " done: true\n", " experiment_id: 7948274e350043a2a652c3c1bcc9f67c\n", " experiment_tag: 47_k_dev=3.9594,value_type=open,window=55\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 12223\n", " time_since_restore: 11.89772629737854\n", " time_this_iter_s: 11.89772629737854\n", " time_total_s: 11.89772629737854\n", " timestamp: 1654101323\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00047\n", " warmup_time: 0.0060422420501708984\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:35:28,043\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00057\n", "IOPub data rate exceeded.\n", "The notebook server will temporarily stop sending output\n", "to the client in order to avoid crashing it.\n", "To change this limit, set the config variable\n", "`--NotebookApp.iopub_data_rate_limit`.\n", "\n", "Current values:\n", "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", "NotebookApp.rate_limit_window=3.0 (secs)\n", "\n" ] }, { "data": { "text/html": [ "== Status ==
Current time: 2022-06-01 19:35:32 (running for 00:01:41.20)
Memory usage on this node: 12.5/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 10.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00038 with accuracy=0.5743243243243243 and parameters={'window': 80, 'value_type': 'low', 'k_dev': 3.3368279156307263}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 73/100 (15 PENDING, 10 RUNNING, 48 TERMINATED)
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00048RUNNING 192.168.1.14:123042.62893high 90
trainable_9e7a8_00049RUNNING 192.168.1.14:123642.98399close 55
trainable_9e7a8_00050RUNNING 192.168.1.14:124563.40408close 10
trainable_9e7a8_00051RUNNING 192.168.1.14:124581.63469open 15
trainable_9e7a8_00052RUNNING 192.168.1.14:124591.55978close 60
trainable_9e7a8_00053RUNNING 192.168.1.14:124612.58736high 35
trainable_9e7a8_00054RUNNING 192.168.1.14:124661.46559low 50
trainable_9e7a8_00058PENDING 1.98504high 60
trainable_9e7a8_00059PENDING 2.80529open 75
trainable_9e7a8_00060PENDING 1.24152close 75
trainable_9e7a8_00061PENDING 2.58144close 70
trainable_9e7a8_00062PENDING 1.61595close 85
trainable_9e7a8_00063PENDING 1.88298low 80
trainable_9e7a8_00064PENDING 2.87921high 95
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 53 more trials not shown (3 RUNNING, 8 PENDING, 41 TERMINATED)

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:35:32,348\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00058\n", "2022-06-01 19:35:32,490\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00059\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00048:\n", " accuracy: 0.49904397705544934\n", " date: 2022-06-01_19-35-28\n", " done: false\n", " experiment_id: e63c950340b3499ebaa130030eea569f\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 12304\n", " time_since_restore: 11.239783525466919\n", " time_this_iter_s: 11.239783525466919\n", " time_total_s: 11.239783525466919\n", " timestamp: 1654101328\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00048\n", " warmup_time: 0.003180265426635742\n", " \n", "Result for trainable_9e7a8_00048:\n", " accuracy: 0.49904397705544934\n", " date: 2022-06-01_19-35-28\n", " done: true\n", " experiment_id: e63c950340b3499ebaa130030eea569f\n", " experiment_tag: 48_k_dev=2.6289,value_type=high,window=90\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 12304\n", " time_since_restore: 11.239783525466919\n", " time_this_iter_s: 11.239783525466919\n", " time_total_s: 11.239783525466919\n", " timestamp: 1654101328\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00048\n", " warmup_time: 0.003180265426635742\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:35:32,978\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00060\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00049:\n", " accuracy: 0.4858757062146893\n", " date: 2022-06-01_19-35-34\n", " done: false\n", " experiment_id: 30895e40e00b4f6685c32171aefc61cc\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 12364\n", " time_since_restore: 13.648305654525757\n", " time_this_iter_s: 13.648305654525757\n", " time_total_s: 13.648305654525757\n", " timestamp: 1654101334\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00049\n", " warmup_time: 0.0028488636016845703\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "IOPub data rate exceeded.\n", "The notebook server will temporarily stop sending output\n", "to the client in order to avoid crashing it.\n", "To change this limit, set the config variable\n", "`--NotebookApp.iopub_data_rate_limit`.\n", "\n", "Current values:\n", "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", "NotebookApp.rate_limit_window=3.0 (secs)\n", "\n" ] }, { "data": { "text/html": [ "== Status ==
Current time: 2022-06-01 19:35:37 (running for 00:01:46.85)
Memory usage on this node: 12.7/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00038 with accuracy=0.5743243243243243 and parameters={'window': 80, 'value_type': 'low', 'k_dev': 3.3368279156307263}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 77/100 (16 PENDING, 12 RUNNING, 49 TERMINATED)
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00049RUNNING 192.168.1.14:123642.98399close 55 1 13.6483 0.485876
trainable_9e7a8_00050RUNNING 192.168.1.14:124563.40408close 10
trainable_9e7a8_00051RUNNING 192.168.1.14:124581.63469open 15
trainable_9e7a8_00052RUNNING 192.168.1.14:124591.55978close 60
trainable_9e7a8_00053RUNNING 192.168.1.14:124612.58736high 35
trainable_9e7a8_00054RUNNING 192.168.1.14:124661.46559low 50
trainable_9e7a8_00055RUNNING 192.168.1.14:124682.74483high 70
trainable_9e7a8_00061PENDING 2.58144close 70
trainable_9e7a8_00062PENDING 1.61595close 85
trainable_9e7a8_00063PENDING 1.88298low 80
trainable_9e7a8_00064PENDING 2.87921high 95
trainable_9e7a8_00065PENDING 3.3177 low 40
trainable_9e7a8_00066PENDING 1.65135close 75
trainable_9e7a8_00067PENDING 2.71342low 95
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 57 more trials not shown (5 RUNNING, 9 PENDING, 42 TERMINATED)

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "IOPub data rate exceeded.\n", "The notebook server will temporarily stop sending output\n", "to the client in order to avoid crashing it.\n", "To change this limit, set the config variable\n", "`--NotebookApp.iopub_data_rate_limit`.\n", "\n", "Current values:\n", "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", "NotebookApp.rate_limit_window=3.0 (secs)\n", "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00050:\n", " accuracy: 0.125\n", " date: 2022-06-01_19-35-36\n", " done: false\n", " experiment_id: ec43fab210744f0d87c7cf7c34054e82\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 12456\n", " time_since_restore: 12.250865697860718\n", " time_this_iter_s: 12.250865697860718\n", " time_total_s: 12.250865697860718\n", " timestamp: 1654101336\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00050\n", " warmup_time: 0.005457401275634766\n", " \n", "Result for trainable_9e7a8_00055:\n", " accuracy: 0.489247311827957\n", " date: 2022-06-01_19-35-38\n", " done: false\n", " experiment_id: 7a00014ee9ee4dcc8ecce8a971564269\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 12468\n", " time_since_restore: 12.681321144104004\n", " time_this_iter_s: 12.681321144104004\n", " time_total_s: 12.681321144104004\n", " timestamp: 1654101338\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00055\n", " warmup_time: 0.003793954849243164\n", " \n", "Result for trainable_9e7a8_00050:\n", " accuracy: 0.125\n", " date: 2022-06-01_19-35-36\n", " done: true\n", " experiment_id: ec43fab210744f0d87c7cf7c34054e82\n", " experiment_tag: 50_k_dev=3.4041,value_type=close,window=10\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 12456\n", " time_since_restore: 12.250865697860718\n", " time_this_iter_s: 12.250865697860718\n", " time_total_s: 12.250865697860718\n", " timestamp: 1654101336\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00050\n", " warmup_time: 0.005457401275634766\n", " \n", "Result for trainable_9e7a8_00049:\n", " accuracy: 0.4858757062146893\n", " date: 2022-06-01_19-35-34\n", " done: true\n", " experiment_id: 30895e40e00b4f6685c32171aefc61cc\n", " experiment_tag: 49_k_dev=2.984,value_type=close,window=55\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 12364\n", " time_since_restore: 13.648305654525757\n", " time_this_iter_s: 13.648305654525757\n", " time_total_s: 13.648305654525757\n", " timestamp: 1654101334\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00049\n", " warmup_time: 0.0028488636016845703\n", " \n", "Result for trainable_9e7a8_00055:\n", " accuracy: 0.489247311827957\n", " date: 2022-06-01_19-35-38\n", " done: true\n", " experiment_id: 7a00014ee9ee4dcc8ecce8a971564269\n", " experiment_tag: 55_k_dev=2.7448,value_type=high,window=70\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 12468\n", " time_since_restore: 12.681321144104004\n", " time_this_iter_s: 12.681321144104004\n", " time_total_s: 12.681321144104004\n", " timestamp: 1654101338\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00055\n", " warmup_time: 0.003793954849243164\n", " \n", "Result for trainable_9e7a8_00052:\n", " accuracy: 0.47584973166368516\n", " date: 2022-06-01_19-35-38\n", " done: false\n", " experiment_id: 3706599cf6524c7b82771ab7adc8c66d\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 12459\n", " time_since_restore: 13.855209827423096\n", " time_this_iter_s: 13.855209827423096\n", " time_total_s: 13.855209827423096\n", " timestamp: 1654101338\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00052\n", " warmup_time: 0.010962724685668945\n", " \n", "Result for trainable_9e7a8_00052:\n", " accuracy: 0.47584973166368516\n", " date: 2022-06-01_19-35-38\n", " done: true\n", " experiment_id: 3706599cf6524c7b82771ab7adc8c66d\n", " experiment_tag: 52_k_dev=1.5598,value_type=close,window=60\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 12459\n", " time_since_restore: 13.855209827423096\n", " time_this_iter_s: 13.855209827423096\n", " time_total_s: 13.855209827423096\n", " timestamp: 1654101338\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00052\n", " warmup_time: 0.010962724685668945\n", " \n", "Result for trainable_9e7a8_00054:\n", " accuracy: 0.4714795008912656\n", " date: 2022-06-01_19-35-38\n", " done: false\n", " experiment_id: 17dea376587c41a0a26528298910e3dc\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 12466\n", " time_since_restore: 13.265269756317139\n", " time_this_iter_s: 13.265269756317139\n", " time_total_s: 13.265269756317139\n", " timestamp: 1654101338\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00054\n", " warmup_time: 0.01656317710876465\n", " \n", "Result for trainable_9e7a8_00054:\n", " accuracy: 0.4714795008912656\n", " date: 2022-06-01_19-35-38\n", " done: true\n", " experiment_id: 17dea376587c41a0a26528298910e3dc\n", " experiment_tag: 54_k_dev=1.4656,value_type=low,window=50\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 12466\n", " time_since_restore: 13.265269756317139\n", " time_this_iter_s: 13.265269756317139\n", " time_total_s: 13.265269756317139\n", " timestamp: 1654101338\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00054\n", " warmup_time: 0.01656317710876465\n", " \n", "Result for trainable_9e7a8_00051:\n", " accuracy: 0.47394446557626474\n", " date: 2022-06-01_19-35-38\n", " done: false\n", " experiment_id: 7181eb7e2b5e44339db85fb4e61766ff\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 12458\n", " time_since_restore: 13.853472471237183\n", " time_this_iter_s: 13.853472471237183\n", " time_total_s: 13.853472471237183\n", " timestamp: 1654101338\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00051\n", " warmup_time: 0.007745981216430664\n", " \n", "Result for trainable_9e7a8_00051:\n", " accuracy: 0.47394446557626474\n", " date: 2022-06-01_19-35-38\n", " done: true\n", " experiment_id: 7181eb7e2b5e44339db85fb4e61766ff\n", " experiment_tag: 51_k_dev=1.6347,value_type=open,window=15\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 12458\n", " time_since_restore: 13.853472471237183\n", " time_this_iter_s: 13.853472471237183\n", " time_total_s: 13.853472471237183\n", " timestamp: 1654101338\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00051\n", " warmup_time: 0.007745981216430664\n", " \n", "Result for trainable_9e7a8_00053:\n", " accuracy: 0.44356435643564357\n", " date: 2022-06-01_19-35-39\n", " done: false\n", " experiment_id: 9b6c2e5c908b4fb2bb70db679c9b16a4\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 12461\n", " time_since_restore: 13.831803560256958\n", " time_this_iter_s: 13.831803560256958\n", " time_total_s: 13.831803560256958\n", " timestamp: 1654101339\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00053\n", " warmup_time: 0.0035173892974853516\n", " \n" ] }, { "data": { "text/html": [ "== Status ==
Current time: 2022-06-01 19:35:39 (running for 00:01:48.23)
Memory usage on this node: 12.1/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 6.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00038 with accuracy=0.5743243243243243 and parameters={'window': 80, 'value_type': 'low', 'k_dev': 3.3368279156307263}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 77/100 (16 PENDING, 6 RUNNING, 55 TERMINATED)
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00053RUNNING 192.168.1.14:124612.58736high 35 1 13.8318 0.443564
trainable_9e7a8_00056RUNNING 192.168.1.14:124712.93169open 20
trainable_9e7a8_00057RUNNING 192.168.1.14:127763.34213high 10
trainable_9e7a8_00058RUNNING 192.168.1.14:128471.98504high 60
trainable_9e7a8_00059RUNNING 192.168.1.14:128492.80529open 75
trainable_9e7a8_00060RUNNING 192.168.1.14:128521.24152close 75
trainable_9e7a8_00061PENDING 2.58144close 70
trainable_9e7a8_00062PENDING 1.61595close 85
trainable_9e7a8_00063PENDING 1.88298low 80
trainable_9e7a8_00064PENDING 2.87921high 95
trainable_9e7a8_00065PENDING 3.3177 low 40
trainable_9e7a8_00066PENDING 1.65135close 75
trainable_9e7a8_00067PENDING 2.71342low 95
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 57 more trials not shown (9 PENDING, 48 TERMINATED)

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00053:\n", " accuracy: 0.44356435643564357\n", " date: 2022-06-01_19-35-39\n", " done: true\n", " experiment_id: 9b6c2e5c908b4fb2bb70db679c9b16a4\n", " experiment_tag: 53_k_dev=2.5874,value_type=high,window=35\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 12461\n", " time_since_restore: 13.831803560256958\n", " time_this_iter_s: 13.831803560256958\n", " time_total_s: 13.831803560256958\n", " timestamp: 1654101339\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00053\n", " warmup_time: 0.0035173892974853516\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:35:39,944\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00061\n", "2022-06-01 19:35:39,963\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00062\n", "2022-06-01 19:35:39,984\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00063\n", "2022-06-01 19:35:40,032\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00064\n", "2022-06-01 19:35:40,061\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00065\n", "2022-06-01 19:35:40,089\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00066\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00056:\n", " accuracy: 0.5165692007797271\n", " date: 2022-06-01_19-35-39\n", " done: false\n", " experiment_id: b19b5a008d5241d69de78d3f863ff9a3\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 12471\n", " time_since_restore: 13.42310881614685\n", " time_this_iter_s: 13.42310881614685\n", " time_total_s: 13.42310881614685\n", " timestamp: 1654101339\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00056\n", " warmup_time: 0.004828929901123047\n", " \n", "Result for trainable_9e7a8_00056:\n", " accuracy: 0.5165692007797271\n", " date: 2022-06-01_19-35-39\n", " done: true\n", " experiment_id: b19b5a008d5241d69de78d3f863ff9a3\n", " experiment_tag: 56_k_dev=2.9317,value_type=open,window=20\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 12471\n", " time_since_restore: 13.42310881614685\n", " time_this_iter_s: 13.42310881614685\n", " time_total_s: 13.42310881614685\n", " timestamp: 1654101339\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00056\n", " warmup_time: 0.004828929901123047\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:35:40,142\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00067\n", "2022-06-01 19:35:40,182\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00068\n", "IOPub data rate exceeded.\n", "The notebook server will temporarily stop sending output\n", "to the client in order to avoid crashing it.\n", "To change this limit, set the config variable\n", "`--NotebookApp.iopub_data_rate_limit`.\n", "\n", "Current values:\n", "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", "NotebookApp.rate_limit_window=3.0 (secs)\n", "\n" ] }, { "data": { "text/html": [ "== Status ==
Current time: 2022-06-01 19:35:46 (running for 00:01:55.39)
Memory usage on this node: 12.8/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00038 with accuracy=0.5743243243243243 and parameters={'window': 80, 'value_type': 'low', 'k_dev': 3.3368279156307263}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 85/100 (16 PENDING, 12 RUNNING, 57 TERMINATED)
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00057RUNNING 192.168.1.14:127763.34213high 10
trainable_9e7a8_00058RUNNING 192.168.1.14:128471.98504high 60
trainable_9e7a8_00059RUNNING 192.168.1.14:128492.80529open 75
trainable_9e7a8_00060RUNNING 192.168.1.14:128521.24152close 75
trainable_9e7a8_00061RUNNING 192.168.1.14:130832.58144close 70
trainable_9e7a8_00062RUNNING 192.168.1.14:130891.61595close 85
trainable_9e7a8_00063RUNNING 192.168.1.14:131061.88298low 80
trainable_9e7a8_00069PENDING 3.82523low 70
trainable_9e7a8_00070PENDING 1.268 low 60
trainable_9e7a8_00071PENDING 3.12592high 80
trainable_9e7a8_00072PENDING 3.23254low 30
trainable_9e7a8_00073PENDING 1.90762close 90
trainable_9e7a8_00074PENDING 2.52124low 45
trainable_9e7a8_00075PENDING 2.42818close 20
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 65 more trials not shown (5 RUNNING, 9 PENDING, 50 TERMINATED)

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00057:\n", " accuracy: 0.47774480712166173\n", " date: 2022-06-01_19-35-46\n", " done: false\n", " experiment_id: 12c7c0edfcc14691ac9ced451f9b7c9e\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 12776\n", " time_since_restore: 14.150588035583496\n", " time_this_iter_s: 14.150588035583496\n", " time_total_s: 14.150588035583496\n", " timestamp: 1654101346\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00057\n", " warmup_time: 0.0038924217224121094\n", " \n", "Result for trainable_9e7a8_00057:\n", " accuracy: 0.47774480712166173\n", " date: 2022-06-01_19-35-46\n", " done: true\n", " experiment_id: 12c7c0edfcc14691ac9ced451f9b7c9e\n", " experiment_tag: 57_k_dev=3.3421,value_type=high,window=10\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 12776\n", " time_since_restore: 14.150588035583496\n", " time_this_iter_s: 14.150588035583496\n", " time_total_s: 14.150588035583496\n", " timestamp: 1654101346\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00057\n", " warmup_time: 0.0038924217224121094\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:35:49,333\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00069\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00059:\n", " accuracy: 0.5254237288135594\n", " date: 2022-06-01_19-35-52\n", " done: false\n", " experiment_id: d2c454abfc4a4292bb1c8c1e5594e0d5\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 12849\n", " time_since_restore: 15.423451900482178\n", " time_this_iter_s: 15.423451900482178\n", " time_total_s: 15.423451900482178\n", " timestamp: 1654101352\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00059\n", " warmup_time: 0.005212306976318359\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "IOPub data rate exceeded.\n", "The notebook server will temporarily stop sending output\n", "to the client in order to avoid crashing it.\n", "To change this limit, set the config variable\n", "`--NotebookApp.iopub_data_rate_limit`.\n", "\n", "Current values:\n", "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", "NotebookApp.rate_limit_window=3.0 (secs)\n", "\n" ] }, { "data": { "text/html": [ "== Status ==
Current time: 2022-06-01 19:35:54 (running for 00:02:03.03)
Memory usage on this node: 12.8/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00038 with accuracy=0.5743243243243243 and parameters={'window': 80, 'value_type': 'low', 'k_dev': 3.3368279156307263}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 86/100 (16 PENDING, 12 RUNNING, 58 TERMINATED)
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00058RUNNING 192.168.1.14:128471.98504high 60
trainable_9e7a8_00059RUNNING 192.168.1.14:128492.80529open 75 1 15.4235 0.525424
trainable_9e7a8_00060RUNNING 192.168.1.14:128521.24152close 75
trainable_9e7a8_00061RUNNING 192.168.1.14:130832.58144close 70
trainable_9e7a8_00062RUNNING 192.168.1.14:130891.61595close 85
trainable_9e7a8_00063RUNNING 192.168.1.14:131061.88298low 80
trainable_9e7a8_00064RUNNING 192.168.1.14:131282.87921high 95
trainable_9e7a8_00070PENDING 1.268 low 60
trainable_9e7a8_00071PENDING 3.12592high 80
trainable_9e7a8_00072PENDING 3.23254low 30
trainable_9e7a8_00073PENDING 1.90762close 90
trainable_9e7a8_00074PENDING 2.52124low 45
trainable_9e7a8_00075PENDING 2.42818close 20
trainable_9e7a8_00076PENDING 3.99823high 80
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 66 more trials not shown (5 RUNNING, 9 PENDING, 51 TERMINATED)

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00059:\n", " accuracy: 0.5254237288135594\n", " date: 2022-06-01_19-35-52\n", " done: true\n", " experiment_id: d2c454abfc4a4292bb1c8c1e5594e0d5\n", " experiment_tag: 59_k_dev=2.8053,value_type=open,window=75\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 12849\n", " time_since_restore: 15.423451900482178\n", " time_this_iter_s: 15.423451900482178\n", " time_total_s: 15.423451900482178\n", " timestamp: 1654101352\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00059\n", " warmup_time: 0.005212306976318359\n", " \n", "Result for trainable_9e7a8_00058:\n", " accuracy: 0.468586387434555\n", " date: 2022-06-01_19-35-53\n", " done: false\n", " experiment_id: aeb057a6616a4893a88eda95e5ba04db\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 12847\n", " time_since_restore: 16.30258345603943\n", " time_this_iter_s: 16.30258345603943\n", " time_total_s: 16.30258345603943\n", " timestamp: 1654101353\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00058\n", " warmup_time: 0.00798487663269043\n", " \n", "Result for trainable_9e7a8_00058:\n", " accuracy: 0.468586387434555\n", " date: 2022-06-01_19-35-53\n", " done: true\n", " experiment_id: aeb057a6616a4893a88eda95e5ba04db\n", " experiment_tag: 58_k_dev=1.985,value_type=high,window=60\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 12847\n", " time_since_restore: 16.30258345603943\n", " time_this_iter_s: 16.30258345603943\n", " time_total_s: 16.30258345603943\n", " timestamp: 1654101353\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00058\n", " warmup_time: 0.00798487663269043\n", " \n", "Result for trainable_9e7a8_00060:\n", " accuracy: 0.4608654528257271\n", " date: 2022-06-01_19-35-54\n", " done: false\n", " experiment_id: 73c45794874949818df555af27cf4588\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 12852\n", " time_since_restore: 17.009721755981445\n", " time_this_iter_s: 17.009721755981445\n", " time_total_s: 17.009721755981445\n", " timestamp: 1654101354\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00060\n", " warmup_time: 0.007467985153198242\n", " \n", "Result for trainable_9e7a8_00060:\n", " accuracy: 0.4608654528257271\n", " date: 2022-06-01_19-35-54\n", " done: true\n", " experiment_id: 73c45794874949818df555af27cf4588\n", " experiment_tag: 60_k_dev=1.2415,value_type=close,window=75\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 12852\n", " time_since_restore: 17.009721755981445\n", " time_this_iter_s: 17.009721755981445\n", " time_total_s: 17.009721755981445\n", " timestamp: 1654101354\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00060\n", " warmup_time: 0.007467985153198242\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:35:56,305\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00070\n", "2022-06-01 19:35:56,369\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00071\n", "2022-06-01 19:35:56,417\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00072\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00065:\n", " accuracy: 0.5490196078431373\n", " date: 2022-06-01_19-35-59\n", " done: false\n", " experiment_id: b93434890af74b569340a211980de915\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13130\n", " time_since_restore: 14.733199119567871\n", " time_this_iter_s: 14.733199119567871\n", " time_total_s: 14.733199119567871\n", " timestamp: 1654101359\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00065\n", " warmup_time: 0.005694150924682617\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "IOPub data rate exceeded.\n", "The notebook server will temporarily stop sending output\n", "to the client in order to avoid crashing it.\n", "To change this limit, set the config variable\n", "`--NotebookApp.iopub_data_rate_limit`.\n", "\n", "Current values:\n", "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", "NotebookApp.rate_limit_window=3.0 (secs)\n", "\n" ] }, { "data": { "text/html": [ "== Status ==
Current time: 2022-06-01 19:36:01 (running for 00:02:10.20)
Memory usage on this node: 12.8/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00038 with accuracy=0.5743243243243243 and parameters={'window': 80, 'value_type': 'low', 'k_dev': 3.3368279156307263}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 89/100 (16 PENDING, 12 RUNNING, 61 TERMINATED)
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00061RUNNING 192.168.1.14:130832.58144close 70
trainable_9e7a8_00062RUNNING 192.168.1.14:130891.61595close 85
trainable_9e7a8_00063RUNNING 192.168.1.14:131061.88298low 80
trainable_9e7a8_00064RUNNING 192.168.1.14:131282.87921high 95
trainable_9e7a8_00065RUNNING 192.168.1.14:131303.3177 low 40 1 14.7332 0.54902
trainable_9e7a8_00066RUNNING 192.168.1.14:131321.65135close 75
trainable_9e7a8_00067RUNNING 192.168.1.14:131332.71342low 95
trainable_9e7a8_00073PENDING 1.90762close 90
trainable_9e7a8_00074PENDING 2.52124low 45
trainable_9e7a8_00075PENDING 2.42818close 20
trainable_9e7a8_00076PENDING 3.99823high 80
trainable_9e7a8_00077PENDING 1.21075high 65
trainable_9e7a8_00078PENDING 1.62677open 5
trainable_9e7a8_00079PENDING 3.45973open 90
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 69 more trials not shown (5 RUNNING, 9 PENDING, 54 TERMINATED)

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00062:\n", " accuracy: 0.4754601226993865\n", " date: 2022-06-01_19-36-00\n", " done: false\n", " experiment_id: aa26a83503aa4dc6a671a888b1e0135d\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13089\n", " time_since_restore: 15.619421482086182\n", " time_this_iter_s: 15.619421482086182\n", " time_total_s: 15.619421482086182\n", " timestamp: 1654101360\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00062\n", " warmup_time: 0.0051763057708740234\n", " \n", "Result for trainable_9e7a8_00066:\n", " accuracy: 0.4742676167854315\n", " date: 2022-06-01_19-36-01\n", " done: false\n", " experiment_id: f55808ee9dbe4868801fd20b02bd0f1b\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13132\n", " time_since_restore: 15.999192237854004\n", " time_this_iter_s: 15.999192237854004\n", " time_total_s: 15.999192237854004\n", " timestamp: 1654101361\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00066\n", " warmup_time: 0.0056378841400146484\n", " \n", "Result for trainable_9e7a8_00061:\n", " accuracy: 0.5103734439834025\n", " date: 2022-06-01_19-36-00\n", " done: false\n", " experiment_id: 95898e23e88b4be4b70f03befd4651aa\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13083\n", " time_since_restore: 14.885961055755615\n", " time_this_iter_s: 14.885961055755615\n", " time_total_s: 14.885961055755615\n", " timestamp: 1654101360\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00061\n", " warmup_time: 0.006001949310302734\n", " \n", "Result for trainable_9e7a8_00064:\n", " accuracy: 0.5014164305949008\n", " date: 2022-06-01_19-36-00\n", " done: false\n", " experiment_id: 4ad91f70d6374c9b8b4b83478761c8c5\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13128\n", " time_since_restore: 15.386110305786133\n", " time_this_iter_s: 15.386110305786133\n", " time_total_s: 15.386110305786133\n", " timestamp: 1654101360\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00064\n", " warmup_time: 0.006777763366699219\n", " \n", "Result for trainable_9e7a8_00065:\n", " accuracy: 0.5490196078431373\n", " date: 2022-06-01_19-35-59\n", " done: true\n", " experiment_id: b93434890af74b569340a211980de915\n", " experiment_tag: 65_k_dev=3.3177,value_type=low,window=40\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13130\n", " time_since_restore: 14.733199119567871\n", " time_this_iter_s: 14.733199119567871\n", " time_total_s: 14.733199119567871\n", " timestamp: 1654101359\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00065\n", " warmup_time: 0.005694150924682617\n", " \n", "Result for trainable_9e7a8_00067:\n", " accuracy: 0.5328947368421053\n", " date: 2022-06-01_19-36-00\n", " done: false\n", " experiment_id: 8a45b6f7749247de833b2f00309002f8\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13133\n", " time_since_restore: 15.050776243209839\n", " time_this_iter_s: 15.050776243209839\n", " time_total_s: 15.050776243209839\n", " timestamp: 1654101360\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00067\n", " warmup_time: 0.005591630935668945\n", " \n", "Result for trainable_9e7a8_00062:\n", " accuracy: 0.4754601226993865\n", " date: 2022-06-01_19-36-00\n", " done: true\n", " experiment_id: aa26a83503aa4dc6a671a888b1e0135d\n", " experiment_tag: 62_k_dev=1.6159,value_type=close,window=85\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13089\n", " time_since_restore: 15.619421482086182\n", " time_this_iter_s: 15.619421482086182\n", " time_total_s: 15.619421482086182\n", " timestamp: 1654101360\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00062\n", " warmup_time: 0.0051763057708740234\n", " \n", "Result for trainable_9e7a8_00063:\n", " accuracy: 0.4846322722283205\n", " date: 2022-06-01_19-36-00\n", " done: false\n", " experiment_id: abede3d95a27446cb5573a65e71b4463\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13106\n", " time_since_restore: 14.994568586349487\n", " time_this_iter_s: 14.994568586349487\n", " time_total_s: 14.994568586349487\n", " timestamp: 1654101360\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00063\n", " warmup_time: 0.01875782012939453\n", " \n", "Result for trainable_9e7a8_00064:\n", " accuracy: 0.5014164305949008\n", " date: 2022-06-01_19-36-00\n", " done: true\n", " experiment_id: 4ad91f70d6374c9b8b4b83478761c8c5\n", " experiment_tag: 64_k_dev=2.8792,value_type=high,window=95\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13128\n", " time_since_restore: 15.386110305786133\n", " time_this_iter_s: 15.386110305786133\n", " time_total_s: 15.386110305786133\n", " timestamp: 1654101360\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00064\n", " warmup_time: 0.006777763366699219\n", " \n", "Result for trainable_9e7a8_00066:\n", " accuracy: 0.4742676167854315\n", " date: 2022-06-01_19-36-01\n", " done: true\n", " experiment_id: f55808ee9dbe4868801fd20b02bd0f1b\n", " experiment_tag: 66_k_dev=1.6513,value_type=close,window=75\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13132\n", " time_since_restore: 15.999192237854004\n", " time_this_iter_s: 15.999192237854004\n", " time_total_s: 15.999192237854004\n", " timestamp: 1654101361\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00066\n", " warmup_time: 0.0056378841400146484\n", " \n", "Result for trainable_9e7a8_00061:\n", " accuracy: 0.5103734439834025\n", " date: 2022-06-01_19-36-00\n", " done: true\n", " experiment_id: 95898e23e88b4be4b70f03befd4651aa\n", " experiment_tag: 61_k_dev=2.5814,value_type=close,window=70\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13083\n", " time_since_restore: 14.885961055755615\n", " time_this_iter_s: 14.885961055755615\n", " time_total_s: 14.885961055755615\n", " timestamp: 1654101360\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00061\n", " warmup_time: 0.006001949310302734\n", " \n", "Result for trainable_9e7a8_00068:\n", " accuracy: 0.5005793742757821\n", " date: 2022-06-01_19-36-00\n", " done: false\n", " experiment_id: dfa6f5f40d664043a4722184db31494f\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13135\n", " time_since_restore: 15.302860021591187\n", " time_this_iter_s: 15.302860021591187\n", " time_total_s: 15.302860021591187\n", " timestamp: 1654101360\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00068\n", " warmup_time: 0.01061868667602539\n", " \n", "Result for trainable_9e7a8_00067:\n", " accuracy: 0.5328947368421053\n", " date: 2022-06-01_19-36-00\n", " done: true\n", " experiment_id: 8a45b6f7749247de833b2f00309002f8\n", " experiment_tag: 67_k_dev=2.7134,value_type=low,window=95\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13133\n", " time_since_restore: 15.050776243209839\n", " time_this_iter_s: 15.050776243209839\n", " time_total_s: 15.050776243209839\n", " timestamp: 1654101360\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00067\n", " warmup_time: 0.005591630935668945\n", " \n", "Result for trainable_9e7a8_00068:\n", " accuracy: 0.5005793742757821\n", " date: 2022-06-01_19-36-00\n", " done: true\n", " experiment_id: dfa6f5f40d664043a4722184db31494f\n", " experiment_tag: 68_k_dev=2.3548,value_type=open,window=90\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13135\n", " time_since_restore: 15.302860021591187\n", " time_this_iter_s: 15.302860021591187\n", " time_total_s: 15.302860021591187\n", " timestamp: 1654101360\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00068\n", " warmup_time: 0.01061868667602539\n", " \n", "Result for trainable_9e7a8_00063:\n", " accuracy: 0.4846322722283205\n", " date: 2022-06-01_19-36-00\n", " done: true\n", " experiment_id: abede3d95a27446cb5573a65e71b4463\n", " experiment_tag: 63_k_dev=1.883,value_type=low,window=80\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13106\n", " time_since_restore: 14.994568586349487\n", " time_this_iter_s: 14.994568586349487\n", " time_total_s: 14.994568586349487\n", " timestamp: 1654101360\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00063\n", " warmup_time: 0.01875782012939453\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:36:02,847\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00073\n", "2022-06-01 19:36:02,865\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00074\n", "2022-06-01 19:36:02,893\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00075\n", "2022-06-01 19:36:02,919\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00076\n", "2022-06-01 19:36:02,962\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00077\n", "2022-06-01 19:36:02,995\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00078\n", "2022-06-01 19:36:03,020\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00079\n", "2022-06-01 19:36:03,067\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00080\n", "IOPub data rate exceeded.\n", "The notebook server will temporarily stop sending output\n", "to the client in order to avoid crashing it.\n", "To change this limit, set the config variable\n", "`--NotebookApp.iopub_data_rate_limit`.\n", "\n", "Current values:\n", "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", "NotebookApp.rate_limit_window=3.0 (secs)\n", "\n" ] }, { "data": { "text/html": [ "== Status ==
Current time: 2022-06-01 19:36:09 (running for 00:02:18.10)
Memory usage on this node: 12.8/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00038 with accuracy=0.5743243243243243 and parameters={'window': 80, 'value_type': 'low', 'k_dev': 3.3368279156307263}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 97/100 (16 PENDING, 12 RUNNING, 69 TERMINATED)
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00069RUNNING 192.168.1.14:134143.82523low 70 1 13.3848 0.555556
trainable_9e7a8_00070RUNNING 192.168.1.14:135121.268 low 60
trainable_9e7a8_00071RUNNING 192.168.1.14:135293.12592high 80
trainable_9e7a8_00072RUNNING 192.168.1.14:135313.23254low 30
trainable_9e7a8_00073RUNNING 192.168.1.14:137691.90762close 90
trainable_9e7a8_00074RUNNING 192.168.1.14:137852.52124low 45
trainable_9e7a8_00075RUNNING 192.168.1.14:138132.42818close 20
trainable_9e7a8_00081PENDING 1.95156close 70
trainable_9e7a8_00082PENDING 2.08625low 70
trainable_9e7a8_00083PENDING 3.11219close 85
trainable_9e7a8_00084PENDING 2.89401low 80
trainable_9e7a8_00085PENDING 3.16614high 20
trainable_9e7a8_00086PENDING 3.62232high 65
trainable_9e7a8_00087PENDING 1.35735open 95
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 77 more trials not shown (5 RUNNING, 9 PENDING, 62 TERMINATED)

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00069:\n", " accuracy: 0.5555555555555556\n", " date: 2022-06-01_19-36-07\n", " done: true\n", " experiment_id: ec462f1060664a658e9072352c3bb890\n", " experiment_tag: 69_k_dev=3.8252,value_type=low,window=70\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13414\n", " time_since_restore: 13.384775400161743\n", " time_this_iter_s: 13.384775400161743\n", " time_total_s: 13.384775400161743\n", " timestamp: 1654101367\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00069\n", " warmup_time: 0.0048503875732421875\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:36:12,017\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00081\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00071:\n", " accuracy: 0.520618556701031\n", " date: 2022-06-01_19-36-15\n", " done: false\n", " experiment_id: b3bcf611a54e4ef59d5bb65e43331b74\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13529\n", " time_since_restore: 14.35395884513855\n", " time_this_iter_s: 14.35395884513855\n", " time_total_s: 14.35395884513855\n", " timestamp: 1654101375\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00071\n", " warmup_time: 0.002830028533935547\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "IOPub data rate exceeded.\n", "The notebook server will temporarily stop sending output\n", "to the client in order to avoid crashing it.\n", "To change this limit, set the config variable\n", "`--NotebookApp.iopub_data_rate_limit`.\n", "\n", "Current values:\n", "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", "NotebookApp.rate_limit_window=3.0 (secs)\n", "\n" ] }, { "data": { "text/html": [ "== Status ==
Current time: 2022-06-01 19:36:16 (running for 00:02:25.55)
Memory usage on this node: 12.7/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00038 with accuracy=0.5743243243243243 and parameters={'window': 80, 'value_type': 'low', 'k_dev': 3.3368279156307263}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 98/100 (16 PENDING, 12 RUNNING, 70 TERMINATED)
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00070RUNNING 192.168.1.14:135121.268 low 60
trainable_9e7a8_00071RUNNING 192.168.1.14:135293.12592high 80 1 14.354 0.520619
trainable_9e7a8_00072RUNNING 192.168.1.14:135313.23254low 30
trainable_9e7a8_00073RUNNING 192.168.1.14:137691.90762close 90
trainable_9e7a8_00074RUNNING 192.168.1.14:137852.52124low 45
trainable_9e7a8_00075RUNNING 192.168.1.14:138132.42818close 20
trainable_9e7a8_00076RUNNING 192.168.1.14:138163.99823high 80
trainable_9e7a8_00082PENDING 2.08625low 70
trainable_9e7a8_00083PENDING 3.11219close 85
trainable_9e7a8_00084PENDING 2.89401low 80
trainable_9e7a8_00085PENDING 3.16614high 20
trainable_9e7a8_00086PENDING 3.62232high 65
trainable_9e7a8_00087PENDING 1.35735open 95
trainable_9e7a8_00088PENDING 3.48118low 50
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 78 more trials not shown (5 RUNNING, 9 PENDING, 63 TERMINATED)

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00070:\n", " accuracy: 0.46431924882629105\n", " date: 2022-06-01_19-36-15\n", " done: false\n", " experiment_id: 5e7642f093714589a4cc719b1e3c5544\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13512\n", " time_since_restore: 15.209872961044312\n", " time_this_iter_s: 15.209872961044312\n", " time_total_s: 15.209872961044312\n", " timestamp: 1654101375\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00070\n", " warmup_time: 0.0031023025512695312\n", " \n", "Result for trainable_9e7a8_00071:\n", " accuracy: 0.520618556701031\n", " date: 2022-06-01_19-36-15\n", " done: true\n", " experiment_id: b3bcf611a54e4ef59d5bb65e43331b74\n", " experiment_tag: 71_k_dev=3.1259,value_type=high,window=80\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13529\n", " time_since_restore: 14.35395884513855\n", " time_this_iter_s: 14.35395884513855\n", " time_total_s: 14.35395884513855\n", " timestamp: 1654101375\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00071\n", " warmup_time: 0.002830028533935547\n", " \n", "Result for trainable_9e7a8_00072:\n", " accuracy: 0.5180180180180181\n", " date: 2022-06-01_19-36-15\n", " done: false\n", " experiment_id: 095fa920f2e74c348b8c19464db0ab0a\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13531\n", " time_since_restore: 14.482828140258789\n", " time_this_iter_s: 14.482828140258789\n", " time_total_s: 14.482828140258789\n", " timestamp: 1654101375\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00072\n", " warmup_time: 0.0062177181243896484\n", " \n", "Result for trainable_9e7a8_00070:\n", " accuracy: 0.46431924882629105\n", " date: 2022-06-01_19-36-15\n", " done: true\n", " experiment_id: 5e7642f093714589a4cc719b1e3c5544\n", " experiment_tag: 70_k_dev=1.268,value_type=low,window=60\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13512\n", " time_since_restore: 15.209872961044312\n", " time_this_iter_s: 15.209872961044312\n", " time_total_s: 15.209872961044312\n", " timestamp: 1654101375\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00070\n", " warmup_time: 0.0031023025512695312\n", " \n", "Result for trainable_9e7a8_00072:\n", " accuracy: 0.5180180180180181\n", " date: 2022-06-01_19-36-15\n", " done: true\n", " experiment_id: 095fa920f2e74c348b8c19464db0ab0a\n", " experiment_tag: 72_k_dev=3.2325,value_type=low,window=30\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13531\n", " time_since_restore: 14.482828140258789\n", " time_this_iter_s: 14.482828140258789\n", " time_total_s: 14.482828140258789\n", " timestamp: 1654101375\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00072\n", " warmup_time: 0.0062177181243896484\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:36:17,926\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00082\n", "2022-06-01 19:36:17,993\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00083\n", "2022-06-01 19:36:18,036\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00084\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00076:\n", " accuracy: 0.42424242424242425\n", " date: 2022-06-01_19-36-22\n", " done: false\n", " experiment_id: a7dc5c6c509347f3971e358c338ed54c\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13816\n", " time_since_restore: 14.288736820220947\n", " time_this_iter_s: 14.288736820220947\n", " time_total_s: 14.288736820220947\n", " timestamp: 1654101382\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00076\n", " warmup_time: 0.007698535919189453\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "IOPub data rate exceeded.\n", "The notebook server will temporarily stop sending output\n", "to the client in order to avoid crashing it.\n", "To change this limit, set the config variable\n", "`--NotebookApp.iopub_data_rate_limit`.\n", "\n", "Current values:\n", "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", "NotebookApp.rate_limit_window=3.0 (secs)\n", "\n" ] }, { "data": { "text/html": [ "== Status ==
Current time: 2022-06-01 19:36:23 (running for 00:02:32.36)
Memory usage on this node: 12.7/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00038 with accuracy=0.5743243243243243 and parameters={'window': 80, 'value_type': 'low', 'k_dev': 3.3368279156307263}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 100/100 (15 PENDING, 12 RUNNING, 73 TERMINATED)
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00073RUNNING 192.168.1.14:137691.90762close 90
trainable_9e7a8_00074RUNNING 192.168.1.14:137852.52124low 45
trainable_9e7a8_00075RUNNING 192.168.1.14:138132.42818close 20
trainable_9e7a8_00076RUNNING 192.168.1.14:138163.99823high 80 1 14.2887 0.424242
trainable_9e7a8_00077RUNNING 192.168.1.14:138271.21075high 65
trainable_9e7a8_00078RUNNING 192.168.1.14:138301.62677open 5
trainable_9e7a8_00079RUNNING 192.168.1.14:138313.45973open 90
trainable_9e7a8_00085PENDING 3.16614high 20
trainable_9e7a8_00086PENDING 3.62232high 65
trainable_9e7a8_00087PENDING 1.35735open 95
trainable_9e7a8_00088PENDING 3.48118low 50
trainable_9e7a8_00089PENDING 3.29228open 60
trainable_9e7a8_00090PENDING 1.59333close 85
trainable_9e7a8_00091PENDING 1.57782low 85
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 80 more trials not shown (5 RUNNING, 8 PENDING, 66 TERMINATED)

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00079:\n", " accuracy: 0.5323741007194245\n", " date: 2022-06-01_19-36-23\n", " done: false\n", " experiment_id: 78f3a3c3ffc64735bd3cd00a529c00c5\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13831\n", " time_since_restore: 14.90287446975708\n", " time_this_iter_s: 14.90287446975708\n", " time_total_s: 14.90287446975708\n", " timestamp: 1654101383\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00079\n", " warmup_time: 0.010467290878295898\n", " \n", "Result for trainable_9e7a8_00076:\n", " accuracy: 0.42424242424242425\n", " date: 2022-06-01_19-36-22\n", " done: true\n", " experiment_id: a7dc5c6c509347f3971e358c338ed54c\n", " experiment_tag: 76_k_dev=3.9982,value_type=high,window=80\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13816\n", " time_since_restore: 14.288736820220947\n", " time_this_iter_s: 14.288736820220947\n", " time_total_s: 14.288736820220947\n", " timestamp: 1654101382\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00076\n", " warmup_time: 0.007698535919189453\n", " \n", "Result for trainable_9e7a8_00074:\n", " accuracy: 0.5129032258064516\n", " date: 2022-06-01_19-36-23\n", " done: false\n", " experiment_id: cea27b54ff4c46e48d21915a76587e3e\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13785\n", " time_since_restore: 15.873217344284058\n", " time_this_iter_s: 15.873217344284058\n", " time_total_s: 15.873217344284058\n", " timestamp: 1654101383\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00074\n", " warmup_time: 0.008273124694824219\n", " \n", "Result for trainable_9e7a8_00075:\n", " accuracy: 0.5095057034220533\n", " date: 2022-06-01_19-36-23\n", " done: false\n", " experiment_id: accde7b0038b4330840e4e966870fc37\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13813\n", " time_since_restore: 15.532708168029785\n", " time_this_iter_s: 15.532708168029785\n", " time_total_s: 15.532708168029785\n", " timestamp: 1654101383\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00075\n", " warmup_time: 0.010461091995239258\n", " \n", "Result for trainable_9e7a8_00079:\n", " accuracy: 0.5323741007194245\n", " date: 2022-06-01_19-36-23\n", " done: true\n", " experiment_id: 78f3a3c3ffc64735bd3cd00a529c00c5\n", " experiment_tag: 79_k_dev=3.4597,value_type=open,window=90\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13831\n", " time_since_restore: 14.90287446975708\n", " time_this_iter_s: 14.90287446975708\n", " time_total_s: 14.90287446975708\n", " timestamp: 1654101383\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00079\n", " warmup_time: 0.010467290878295898\n", " \n", "Result for trainable_9e7a8_00074:\n", " accuracy: 0.5129032258064516\n", " date: 2022-06-01_19-36-23\n", " done: true\n", " experiment_id: cea27b54ff4c46e48d21915a76587e3e\n", " experiment_tag: 74_k_dev=2.5212,value_type=low,window=45\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13785\n", " time_since_restore: 15.873217344284058\n", " time_this_iter_s: 15.873217344284058\n", " time_total_s: 15.873217344284058\n", " timestamp: 1654101383\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00074\n", " warmup_time: 0.008273124694824219\n", " \n", "Result for trainable_9e7a8_00075:\n", " accuracy: 0.5095057034220533\n", " date: 2022-06-01_19-36-23\n", " done: true\n", " experiment_id: accde7b0038b4330840e4e966870fc37\n", " experiment_tag: 75_k_dev=2.4282,value_type=close,window=20\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13813\n", " time_since_restore: 15.532708168029785\n", " time_this_iter_s: 15.532708168029785\n", " time_total_s: 15.532708168029785\n", " timestamp: 1654101383\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00075\n", " warmup_time: 0.010461091995239258\n", " \n", "Result for trainable_9e7a8_00073:\n", " accuracy: 0.4947498455836936\n", " date: 2022-06-01_19-36-24\n", " done: false\n", " experiment_id: 4aacc4983775428a8cf58028fae0745e\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13769\n", " time_since_restore: 16.100390911102295\n", " time_this_iter_s: 16.100390911102295\n", " time_total_s: 16.100390911102295\n", " timestamp: 1654101384\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00073\n", " warmup_time: 0.0061151981353759766\n", " \n", "Result for trainable_9e7a8_00073:\n", " accuracy: 0.4947498455836936\n", " date: 2022-06-01_19-36-24\n", " done: true\n", " experiment_id: 4aacc4983775428a8cf58028fae0745e\n", " experiment_tag: 73_k_dev=1.9076,value_type=close,window=90\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13769\n", " time_since_restore: 16.100390911102295\n", " time_this_iter_s: 16.100390911102295\n", " time_total_s: 16.100390911102295\n", " timestamp: 1654101384\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00073\n", " warmup_time: 0.0061151981353759766\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:36:24,936\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00085\n", "2022-06-01 19:36:25,000\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00086\n", "2022-06-01 19:36:25,036\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00087\n", "2022-06-01 19:36:25,050\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00088\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00078:\n", " accuracy: 0.4585403133358808\n", " date: 2022-06-01_19-36-25\n", " done: false\n", " experiment_id: 05cf4e42835d4cac825caaf30c744611\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13830\n", " time_since_restore: 17.114872217178345\n", " time_this_iter_s: 17.114872217178345\n", " time_total_s: 17.114872217178345\n", " timestamp: 1654101385\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00078\n", " warmup_time: 0.005684852600097656\n", " \n", "Result for trainable_9e7a8_00078:\n", " accuracy: 0.4585403133358808\n", " date: 2022-06-01_19-36-25\n", " done: true\n", " experiment_id: 05cf4e42835d4cac825caaf30c744611\n", " experiment_tag: 78_k_dev=1.6268,value_type=open,window=5\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13830\n", " time_since_restore: 17.114872217178345\n", " time_this_iter_s: 17.114872217178345\n", " time_total_s: 17.114872217178345\n", " timestamp: 1654101385\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00078\n", " warmup_time: 0.005684852600097656\n", " \n", "Result for trainable_9e7a8_00077:\n", " accuracy: 0.4559561843906892\n", " date: 2022-06-01_19-36-25\n", " done: false\n", " experiment_id: e4e4fa5c0a5147e584ffa27364f39209\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13827\n", " time_since_restore: 16.75250744819641\n", " time_this_iter_s: 16.75250744819641\n", " time_total_s: 16.75250744819641\n", " timestamp: 1654101385\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00077\n", " warmup_time: 0.007216453552246094\n", " \n", "Result for trainable_9e7a8_00077:\n", " accuracy: 0.4559561843906892\n", " date: 2022-06-01_19-36-25\n", " done: true\n", " experiment_id: e4e4fa5c0a5147e584ffa27364f39209\n", " experiment_tag: 77_k_dev=1.2107,value_type=high,window=65\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13827\n", " time_since_restore: 16.75250744819641\n", " time_this_iter_s: 16.75250744819641\n", " time_total_s: 16.75250744819641\n", " timestamp: 1654101385\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00077\n", " warmup_time: 0.007216453552246094\n", " \n", "Result for trainable_9e7a8_00080:\n", " accuracy: 0.46834892321078964\n", " date: 2022-06-01_19-36-25\n", " done: false\n", " experiment_id: 5439f63b673040bf80805d6a58a7c24b\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13834\n", " time_since_restore: 16.246959686279297\n", " time_this_iter_s: 16.246959686279297\n", " time_total_s: 16.246959686279297\n", " timestamp: 1654101385\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00080\n", " warmup_time: 0.26204538345336914\n", " \n", "Result for trainable_9e7a8_00080:\n", " accuracy: 0.46834892321078964\n", " date: 2022-06-01_19-36-25\n", " done: true\n", " experiment_id: 5439f63b673040bf80805d6a58a7c24b\n", " experiment_tag: 80_k_dev=1.2051,value_type=low,window=45\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 13834\n", " time_since_restore: 16.246959686279297\n", " time_this_iter_s: 16.246959686279297\n", " time_total_s: 16.246959686279297\n", " timestamp: 1654101385\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00080\n", " warmup_time: 0.26204538345336914\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:36:25,986\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00089\n", "2022-06-01 19:36:26,013\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00090\n", "2022-06-01 19:36:26,046\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00091\n", "2022-06-01 19:36:26,063\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00092\n", "IOPub data rate exceeded.\n", "The notebook server will temporarily stop sending output\n", "to the client in order to avoid crashing it.\n", "To change this limit, set the config variable\n", "`--NotebookApp.iopub_data_rate_limit`.\n", "\n", "Current values:\n", "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", "NotebookApp.rate_limit_window=3.0 (secs)\n", "\n" ] }, { "data": { "text/html": [ "== Status ==
Current time: 2022-06-01 19:36:31 (running for 00:02:40.43)
Memory usage on this node: 12.7/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00038 with accuracy=0.5743243243243243 and parameters={'window': 80, 'value_type': 'low', 'k_dev': 3.3368279156307263}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 100/100 (7 PENDING, 12 RUNNING, 81 TERMINATED)
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00081RUNNING 192.168.1.14:141131.95156close 70
trainable_9e7a8_00082RUNNING 192.168.1.14:142112.08625low 70
trainable_9e7a8_00083RUNNING 192.168.1.14:142293.11219close 85
trainable_9e7a8_00084RUNNING 192.168.1.14:142342.89401low 80
trainable_9e7a8_00085RUNNING 192.168.1.14:144123.16614high 20
trainable_9e7a8_00086RUNNING 192.168.1.14:144343.62232high 65
trainable_9e7a8_00087RUNNING 192.168.1.14:144471.35735open 95
trainable_9e7a8_00093PENDING 2.20476close 90
trainable_9e7a8_00094PENDING 3.12346open 90
trainable_9e7a8_00095PENDING 3.92859low 100
trainable_9e7a8_00096PENDING 2.09419close 40
trainable_9e7a8_00097PENDING 1.54937high 50
trainable_9e7a8_00098PENDING 2.0235 high 70
trainable_9e7a8_00099PENDING 2.5238 close 80
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 80 more trials not shown (5 RUNNING, 74 TERMINATED)

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00081:\n", " accuracy: 0.4825543120473996\n", " date: 2022-06-01_19-36-32\n", " done: false\n", " experiment_id: e80efddfed334791917a0bbeaeb800d9\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 14113\n", " time_since_restore: 15.734897375106812\n", " time_this_iter_s: 15.734897375106812\n", " time_total_s: 15.734897375106812\n", " timestamp: 1654101392\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00081\n", " warmup_time: 0.00399470329284668\n", " \n", "Result for trainable_9e7a8_00081:\n", " accuracy: 0.4825543120473996\n", " date: 2022-06-01_19-36-32\n", " done: true\n", " experiment_id: e80efddfed334791917a0bbeaeb800d9\n", " experiment_tag: 81_k_dev=1.9516,value_type=close,window=70\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 14113\n", " time_since_restore: 15.734897375106812\n", " time_this_iter_s: 15.734897375106812\n", " time_total_s: 15.734897375106812\n", " timestamp: 1654101392\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00081\n", " warmup_time: 0.00399470329284668\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:36:33,959\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00093\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00083:\n", " accuracy: 0.5508021390374331\n", " date: 2022-06-01_19-36-37\n", " done: false\n", " experiment_id: 68e194714d394037802509fc73bf3341\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 14229\n", " time_since_restore: 14.196528196334839\n", " time_this_iter_s: 14.196528196334839\n", " time_total_s: 14.196528196334839\n", " timestamp: 1654101397\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00083\n", " warmup_time: 0.00455474853515625\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "IOPub data rate exceeded.\n", "The notebook server will temporarily stop sending output\n", "to the client in order to avoid crashing it.\n", "To change this limit, set the config variable\n", "`--NotebookApp.iopub_data_rate_limit`.\n", "\n", "Current values:\n", "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", "NotebookApp.rate_limit_window=3.0 (secs)\n", "\n" ] }, { "data": { "text/html": [ "== Status ==
Current time: 2022-06-01 19:36:39 (running for 00:02:48.31)
Memory usage on this node: 12.8/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00038 with accuracy=0.5743243243243243 and parameters={'window': 80, 'value_type': 'low', 'k_dev': 3.3368279156307263}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 100/100 (6 PENDING, 12 RUNNING, 82 TERMINATED)
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00082RUNNING 192.168.1.14:142112.08625low 70
trainable_9e7a8_00083RUNNING 192.168.1.14:142293.11219close 85 1 14.1965 0.550802
trainable_9e7a8_00084RUNNING 192.168.1.14:142342.89401low 80
trainable_9e7a8_00085RUNNING 192.168.1.14:144123.16614high 20
trainable_9e7a8_00086RUNNING 192.168.1.14:144343.62232high 65
trainable_9e7a8_00087RUNNING 192.168.1.14:144471.35735open 95
trainable_9e7a8_00088RUNNING 192.168.1.14:144503.48118low 50
trainable_9e7a8_00094PENDING 3.12346open 90
trainable_9e7a8_00095PENDING 3.92859low 100
trainable_9e7a8_00096PENDING 2.09419close 40
trainable_9e7a8_00097PENDING 1.54937high 50
trainable_9e7a8_00098PENDING 2.0235 high 70
trainable_9e7a8_00099PENDING 2.5238 close 80
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022

... 80 more trials not shown (5 RUNNING, 75 TERMINATED)

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00084:\n", " accuracy: 0.5492537313432836\n", " date: 2022-06-01_19-36-38\n", " done: false\n", " experiment_id: a1285ddec35b4d6fb17e3cf15b0e8c70\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 14234\n", " time_since_restore: 15.186134576797485\n", " time_this_iter_s: 15.186134576797485\n", " time_total_s: 15.186134576797485\n", " timestamp: 1654101398\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00084\n", " warmup_time: 0.004622220993041992\n", " \n", "Result for trainable_9e7a8_00083:\n", " accuracy: 0.5508021390374331\n", " date: 2022-06-01_19-36-37\n", " done: true\n", " experiment_id: 68e194714d394037802509fc73bf3341\n", " experiment_tag: 83_k_dev=3.1122,value_type=close,window=85\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 14229\n", " time_since_restore: 14.196528196334839\n", " time_this_iter_s: 14.196528196334839\n", " time_total_s: 14.196528196334839\n", " timestamp: 1654101397\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00083\n", " warmup_time: 0.00455474853515625\n", " \n", "Result for trainable_9e7a8_00084:\n", " accuracy: 0.5492537313432836\n", " date: 2022-06-01_19-36-38\n", " done: true\n", " experiment_id: a1285ddec35b4d6fb17e3cf15b0e8c70\n", " experiment_tag: 84_k_dev=2.894,value_type=low,window=80\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 14234\n", " time_since_restore: 15.186134576797485\n", " time_this_iter_s: 15.186134576797485\n", " time_total_s: 15.186134576797485\n", " timestamp: 1654101398\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00084\n", " warmup_time: 0.004622220993041992\n", " \n", "Result for trainable_9e7a8_00082:\n", " accuracy: 0.488822652757079\n", " date: 2022-06-01_19-36-38\n", " done: false\n", " experiment_id: f3e2537da0a3458eafb56c4c958f161a\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 14211\n", " time_since_restore: 15.285579681396484\n", " time_this_iter_s: 15.285579681396484\n", " time_total_s: 15.285579681396484\n", " timestamp: 1654101398\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00082\n", " warmup_time: 0.008325338363647461\n", " \n", "Result for trainable_9e7a8_00082:\n", " accuracy: 0.488822652757079\n", " date: 2022-06-01_19-36-38\n", " done: true\n", " experiment_id: f3e2537da0a3458eafb56c4c958f161a\n", " experiment_tag: 82_k_dev=2.0863,value_type=low,window=70\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 14211\n", " time_since_restore: 15.285579681396484\n", " time_this_iter_s: 15.285579681396484\n", " time_total_s: 15.285579681396484\n", " timestamp: 1654101398\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00082\n", " warmup_time: 0.008325338363647461\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:36:40,962\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00094\n", "2022-06-01 19:36:40,999\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00095\n", "2022-06-01 19:36:41,059\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00096\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00086:\n", " accuracy: 0.527027027027027\n", " date: 2022-06-01_19-36-43\n", " done: false\n", " experiment_id: 4d1bc112963146f6aaa3e1c553df81c6\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 14434\n", " time_since_restore: 14.395161628723145\n", " time_this_iter_s: 14.395161628723145\n", " time_total_s: 14.395161628723145\n", " timestamp: 1654101403\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00086\n", " warmup_time: 0.012499094009399414\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "IOPub data rate exceeded.\n", "The notebook server will temporarily stop sending output\n", "to the client in order to avoid crashing it.\n", "To change this limit, set the config variable\n", "`--NotebookApp.iopub_data_rate_limit`.\n", "\n", "Current values:\n", "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", "NotebookApp.rate_limit_window=3.0 (secs)\n", "\n" ] }, { "data": { "text/html": [ "== Status ==
Current time: 2022-06-01 19:36:45 (running for 00:02:54.93)
Memory usage on this node: 12.8/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 12.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00038 with accuracy=0.5743243243243243 and parameters={'window': 80, 'value_type': 'low', 'k_dev': 3.3368279156307263}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 100/100 (3 PENDING, 12 RUNNING, 85 TERMINATED)
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00085RUNNING 192.168.1.14:144123.16614high 20
trainable_9e7a8_00086RUNNING 192.168.1.14:144343.62232high 65 1 14.3952 0.527027
trainable_9e7a8_00087RUNNING 192.168.1.14:144471.35735open 95
trainable_9e7a8_00088RUNNING 192.168.1.14:144503.48118low 50
trainable_9e7a8_00089RUNNING 192.168.1.14:144563.29228open 60
trainable_9e7a8_00090RUNNING 192.168.1.14:144661.59333close 85
trainable_9e7a8_00091RUNNING 192.168.1.14:144901.57782low 85
trainable_9e7a8_00092RUNNING 192.168.1.14:144972.69285close 95
trainable_9e7a8_00093RUNNING 192.168.1.14:147472.20476close 90
trainable_9e7a8_00097PENDING 1.54937high 50
trainable_9e7a8_00098PENDING 2.0235 high 70
trainable_9e7a8_00099PENDING 2.5238 close 80
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022
trainable_9e7a8_00007TERMINATED192.168.1.14:100312.04865close 30 1 14.5712 0.490678
trainable_9e7a8_00008TERMINATED192.168.1.14:100332.38263high 55 1 14.9762 0.460823

... 80 more trials not shown (3 RUNNING, 76 TERMINATED)

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00085:\n", " accuracy: 0.49828178694158076\n", " date: 2022-06-01_19-36-44\n", " done: false\n", " experiment_id: 915dbecc6e4743ed8d6b6ceea4045389\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 14412\n", " time_since_restore: 14.416006565093994\n", " time_this_iter_s: 14.416006565093994\n", " time_total_s: 14.416006565093994\n", " timestamp: 1654101404\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00085\n", " warmup_time: 0.004936695098876953\n", " \n", "Result for trainable_9e7a8_00088:\n", " accuracy: 0.5288461538461539\n", " date: 2022-06-01_19-36-44\n", " done: false\n", " experiment_id: 5ccbea3fe82a42128fe3ca5a8c190016\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 14450\n", " time_since_restore: 14.747365713119507\n", " time_this_iter_s: 14.747365713119507\n", " time_total_s: 14.747365713119507\n", " timestamp: 1654101404\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00088\n", " warmup_time: 0.006840944290161133\n", " \n", "Result for trainable_9e7a8_00087:\n", " accuracy: 0.4624463519313305\n", " date: 2022-06-01_19-36-45\n", " done: false\n", " experiment_id: 64eb60eb42bd4252b19e8b6232e15c35\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 14447\n", " time_since_restore: 16.504238843917847\n", " time_this_iter_s: 16.504238843917847\n", " time_total_s: 16.504238843917847\n", " timestamp: 1654101405\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00087\n", " warmup_time: 0.004414796829223633\n", " \n", "Result for trainable_9e7a8_00092:\n", " accuracy: 0.5157384987893463\n", " date: 2022-06-01_19-36-45\n", " done: false\n", " experiment_id: c54a3677155c463ba1f2454ab57e7e78\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 14497\n", " time_since_restore: 14.131156206130981\n", " time_this_iter_s: 14.131156206130981\n", " time_total_s: 14.131156206130981\n", " timestamp: 1654101405\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00092\n", " warmup_time: 0.00782012939453125\n", " \n", "Result for trainable_9e7a8_00085:\n", " accuracy: 0.49828178694158076\n", " date: 2022-06-01_19-36-44\n", " done: true\n", " experiment_id: 915dbecc6e4743ed8d6b6ceea4045389\n", " experiment_tag: 85_k_dev=3.1661,value_type=high,window=20\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 14412\n", " time_since_restore: 14.416006565093994\n", " time_this_iter_s: 14.416006565093994\n", " time_total_s: 14.416006565093994\n", " timestamp: 1654101404\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00085\n", " warmup_time: 0.004936695098876953\n", " \n", "Result for trainable_9e7a8_00086:\n", " accuracy: 0.527027027027027\n", " date: 2022-06-01_19-36-43\n", " done: true\n", " experiment_id: 4d1bc112963146f6aaa3e1c553df81c6\n", " experiment_tag: 86_k_dev=3.6223,value_type=high,window=65\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 14434\n", " time_since_restore: 14.395161628723145\n", " time_this_iter_s: 14.395161628723145\n", " time_total_s: 14.395161628723145\n", " timestamp: 1654101403\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00086\n", " warmup_time: 0.012499094009399414\n", " \n", "Result for trainable_9e7a8_00089:\n", " accuracy: 0.5414012738853503\n", " date: 2022-06-01_19-36-46\n", " done: false\n", " experiment_id: d4576f90f68c4b06b281b20e907bba08\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 14456\n", " time_since_restore: 14.836263418197632\n", " time_this_iter_s: 14.836263418197632\n", " time_total_s: 14.836263418197632\n", " timestamp: 1654101406\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00089\n", " warmup_time: 0.005787372589111328\n", " \n", "Result for trainable_9e7a8_00088:\n", " accuracy: 0.5288461538461539\n", " date: 2022-06-01_19-36-44\n", " done: true\n", " experiment_id: 5ccbea3fe82a42128fe3ca5a8c190016\n", " experiment_tag: 88_k_dev=3.4812,value_type=low,window=50\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 14450\n", " time_since_restore: 14.747365713119507\n", " time_this_iter_s: 14.747365713119507\n", " time_total_s: 14.747365713119507\n", " timestamp: 1654101404\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00088\n", " warmup_time: 0.006840944290161133\n", " \n", "Result for trainable_9e7a8_00092:\n", " accuracy: 0.5157384987893463\n", " date: 2022-06-01_19-36-45\n", " done: true\n", " experiment_id: c54a3677155c463ba1f2454ab57e7e78\n", " experiment_tag: 92_k_dev=2.6929,value_type=close,window=95\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 14497\n", " time_since_restore: 14.131156206130981\n", " time_this_iter_s: 14.131156206130981\n", " time_total_s: 14.131156206130981\n", " timestamp: 1654101405\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00092\n", " warmup_time: 0.00782012939453125\n", " \n", "Result for trainable_9e7a8_00089:\n", " accuracy: 0.5414012738853503\n", " date: 2022-06-01_19-36-46\n", " done: true\n", " experiment_id: d4576f90f68c4b06b281b20e907bba08\n", " experiment_tag: 89_k_dev=3.2923,value_type=open,window=60\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 14456\n", " time_since_restore: 14.836263418197632\n", " time_this_iter_s: 14.836263418197632\n", " time_total_s: 14.836263418197632\n", " timestamp: 1654101406\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00089\n", " warmup_time: 0.005787372589111328\n", " \n", "Result for trainable_9e7a8_00087:\n", " accuracy: 0.4624463519313305\n", " date: 2022-06-01_19-36-45\n", " done: true\n", " experiment_id: 64eb60eb42bd4252b19e8b6232e15c35\n", " experiment_tag: 87_k_dev=1.3573,value_type=open,window=95\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 14447\n", " time_since_restore: 16.504238843917847\n", " time_this_iter_s: 16.504238843917847\n", " time_total_s: 16.504238843917847\n", " timestamp: 1654101405\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00087\n", " warmup_time: 0.004414796829223633\n", " \n", "Result for trainable_9e7a8_00091:\n", " accuracy: 0.47282796815507094\n", " date: 2022-06-01_19-36-46\n", " done: false\n", " experiment_id: aa2302db24f14f77971fdc4e76f12d09\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 14490\n", " time_since_restore: 15.525084257125854\n", " time_this_iter_s: 15.525084257125854\n", " time_total_s: 15.525084257125854\n", " timestamp: 1654101406\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00091\n", " warmup_time: 0.005910396575927734\n", " \n", "Result for trainable_9e7a8_00091:\n", " accuracy: 0.47282796815507094\n", " date: 2022-06-01_19-36-46\n", " done: true\n", " experiment_id: aa2302db24f14f77971fdc4e76f12d09\n", " experiment_tag: 91_k_dev=1.5778,value_type=low,window=85\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 14490\n", " time_since_restore: 15.525084257125854\n", " time_this_iter_s: 15.525084257125854\n", " time_total_s: 15.525084257125854\n", " timestamp: 1654101406\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00091\n", " warmup_time: 0.005910396575927734\n", " \n", "Result for trainable_9e7a8_00090:\n", " accuracy: 0.47183098591549294\n", " date: 2022-06-01_19-36-46\n", " done: false\n", " experiment_id: df305c8632e04c71914de8098c07048b\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 14466\n", " time_since_restore: 15.784619331359863\n", " time_this_iter_s: 15.784619331359863\n", " time_total_s: 15.784619331359863\n", " timestamp: 1654101406\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00090\n", " warmup_time: 0.004984378814697266\n", " \n", "Result for trainable_9e7a8_00090:\n", " accuracy: 0.47183098591549294\n", " date: 2022-06-01_19-36-46\n", " done: true\n", " experiment_id: df305c8632e04c71914de8098c07048b\n", " experiment_tag: 90_k_dev=1.5933,value_type=close,window=85\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 14466\n", " time_since_restore: 15.784619331359863\n", " time_this_iter_s: 15.784619331359863\n", " time_total_s: 15.784619331359863\n", " timestamp: 1654101406\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00090\n", " warmup_time: 0.004984378814697266\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:36:47,794\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00097\n", "2022-06-01 19:36:47,803\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00098\n", "2022-06-01 19:36:47,835\tINFO trial_runner.py:803 -- starting trainable_9e7a8_00099\n", "IOPub data rate exceeded.\n", "The notebook server will temporarily stop sending output\n", "to the client in order to avoid crashing it.\n", "To change this limit, set the config variable\n", "`--NotebookApp.iopub_data_rate_limit`.\n", "\n", "Current values:\n", "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", "NotebookApp.rate_limit_window=3.0 (secs)\n", "\n" ] }, { "data": { "text/html": [ "== Status ==
Current time: 2022-06-01 19:36:51 (running for 00:03:00.87)
Memory usage on this node: 12.3/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 7.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00038 with accuracy=0.5743243243243243 and parameters={'window': 80, 'value_type': 'low', 'k_dev': 3.3368279156307263}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 100/100 (7 RUNNING, 93 TERMINATED)
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Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00093RUNNING 192.168.1.14:147472.20476close 90 1 11.525 0.488419
trainable_9e7a8_00094RUNNING 192.168.1.14:148583.12346open 90
trainable_9e7a8_00095RUNNING 192.168.1.14:148613.92859low 100
trainable_9e7a8_00096RUNNING 192.168.1.14:148722.09419close 40
trainable_9e7a8_00097RUNNING 192.168.1.14:150391.54937high 50
trainable_9e7a8_00098RUNNING 192.168.1.14:150422.0235 high 70
trainable_9e7a8_00099RUNNING 192.168.1.14:150532.5238 close 80
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022
trainable_9e7a8_00007TERMINATED192.168.1.14:100312.04865close 30 1 14.5712 0.490678
trainable_9e7a8_00008TERMINATED192.168.1.14:100332.38263high 55 1 14.9762 0.460823
trainable_9e7a8_00009TERMINATED192.168.1.14:100352.9824 low 95 1 13.9972 0.546099
trainable_9e7a8_00010TERMINATED192.168.1.14:100361.96683high 95 1 14.459 0.488717
trainable_9e7a8_00011TERMINATED192.168.1.14:100381.36129low 5 1 15.2408 0.467798
trainable_9e7a8_00012TERMINATED192.168.1.14:104483.81256open 15 1 14.0255 0.512111

... 80 more trials not shown (80 TERMINATED)

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00093:\n", " accuracy: 0.48841893252769386\n", " date: 2022-06-01_19-36-50\n", " done: true\n", " experiment_id: a055b602ae964ee4b83749c84beb8ceb\n", " experiment_tag: 93_k_dev=2.2048,value_type=close,window=90\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 14747\n", " time_since_restore: 11.524987936019897\n", " time_this_iter_s: 11.524987936019897\n", " time_total_s: 11.524987936019897\n", " timestamp: 1654101410\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00093\n", " warmup_time: 0.004125833511352539\n", " \n", "Result for trainable_9e7a8_00095:\n", " accuracy: 0.5932203389830508\n", " date: 2022-06-01_19-36-52\n", " done: false\n", " experiment_id: 07e454d618834c0f8b1dc16cd1beeb67\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 14861\n", " time_since_restore: 7.350056171417236\n", " time_this_iter_s: 7.350056171417236\n", " time_total_s: 7.350056171417236\n", " timestamp: 1654101412\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00095\n", " warmup_time: 0.0039005279541015625\n", " \n", "Result for trainable_9e7a8_00095:\n", " accuracy: 0.5932203389830508\n", " date: 2022-06-01_19-36-52\n", " done: true\n", " experiment_id: 07e454d618834c0f8b1dc16cd1beeb67\n", " experiment_tag: 95_k_dev=3.9286,value_type=low,window=100\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 14861\n", " time_since_restore: 7.350056171417236\n", " time_this_iter_s: 7.350056171417236\n", " time_total_s: 7.350056171417236\n", " timestamp: 1654101412\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00095\n", " warmup_time: 0.0039005279541015625\n", " \n", "Result for trainable_9e7a8_00096:\n", " accuracy: 0.47588717015468607\n", " date: 2022-06-01_19-36-53\n", " done: false\n", " experiment_id: 30b9aeb5e1624f14868c2defcf4a8323\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 14872\n", " time_since_restore: 8.110304594039917\n", " time_this_iter_s: 8.110304594039917\n", " time_total_s: 8.110304594039917\n", " timestamp: 1654101413\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00096\n", " warmup_time: 0.0030546188354492188\n", " \n", "Result for trainable_9e7a8_00096:\n", " accuracy: 0.47588717015468607\n", " date: 2022-06-01_19-36-53\n", " done: true\n", " experiment_id: 30b9aeb5e1624f14868c2defcf4a8323\n", " experiment_tag: 96_k_dev=2.0942,value_type=close,window=40\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 14872\n", " time_since_restore: 8.110304594039917\n", " time_this_iter_s: 8.110304594039917\n", " time_total_s: 8.110304594039917\n", " timestamp: 1654101413\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00096\n", " warmup_time: 0.0030546188354492188\n", " \n", "Result for trainable_9e7a8_00094:\n", " accuracy: 0.5436507936507936\n", " date: 2022-06-01_19-36-54\n", " done: false\n", " experiment_id: 43c37c7a382843079bbe39f4f6125980\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 14858\n", " time_since_restore: 8.465050458908081\n", " time_this_iter_s: 8.465050458908081\n", " time_total_s: 8.465050458908081\n", " timestamp: 1654101414\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00094\n", " warmup_time: 0.0037136077880859375\n", " \n", "Result for trainable_9e7a8_00094:\n", " accuracy: 0.5436507936507936\n", " date: 2022-06-01_19-36-54\n", " done: true\n", " experiment_id: 43c37c7a382843079bbe39f4f6125980\n", " experiment_tag: 94_k_dev=3.1235,value_type=open,window=90\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 14858\n", " time_since_restore: 8.465050458908081\n", " time_this_iter_s: 8.465050458908081\n", " time_total_s: 8.465050458908081\n", " timestamp: 1654101414\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00094\n", " warmup_time: 0.0037136077880859375\n", " \n", "Result for trainable_9e7a8_00099:\n", " accuracy: 0.5036101083032491\n", " date: 2022-06-01_19-36-57\n", " done: false\n", " experiment_id: 62a7f0d4290c4867b7787f9caa632211\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 15053\n", " time_since_restore: 6.573130369186401\n", " time_this_iter_s: 6.573130369186401\n", " time_total_s: 6.573130369186401\n", " timestamp: 1654101417\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00099\n", " warmup_time: 0.005975246429443359\n", " \n" ] }, { "data": { "text/html": [ "== Status ==
Current time: 2022-06-01 19:36:57 (running for 00:03:06.68)
Memory usage on this node: 11.8/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 3.0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00095 with accuracy=0.5932203389830508 and parameters={'window': 100, 'value_type': 'low', 'k_dev': 3.9285854094927943}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 100/100 (3 RUNNING, 97 TERMINATED)
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Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00097RUNNING 192.168.1.14:150391.54937high 50
trainable_9e7a8_00098RUNNING 192.168.1.14:150422.0235 high 70
trainable_9e7a8_00099RUNNING 192.168.1.14:150532.5238 close 80 1 6.57313 0.50361
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022
trainable_9e7a8_00007TERMINATED192.168.1.14:100312.04865close 30 1 14.5712 0.490678
trainable_9e7a8_00008TERMINATED192.168.1.14:100332.38263high 55 1 14.9762 0.460823
trainable_9e7a8_00009TERMINATED192.168.1.14:100352.9824 low 95 1 13.9972 0.546099
trainable_9e7a8_00010TERMINATED192.168.1.14:100361.96683high 95 1 14.459 0.488717
trainable_9e7a8_00011TERMINATED192.168.1.14:100381.36129low 5 1 15.2408 0.467798
trainable_9e7a8_00012TERMINATED192.168.1.14:104483.81256open 15 1 14.0255 0.512111
trainable_9e7a8_00013TERMINATED192.168.1.14:106941.80733high 35 1 15.5294 0.469178
trainable_9e7a8_00014TERMINATED192.168.1.14:107051.52009low 65 1 16.2017 0.477317
trainable_9e7a8_00015TERMINATED192.168.1.14:107181.5003 high 30 1 17.1894 0.463359
trainable_9e7a8_00016TERMINATED192.168.1.14:107383.82771low 70 1 15.3816 0.555556

... 80 more trials not shown (80 TERMINATED)

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Result for trainable_9e7a8_00099:\n", " accuracy: 0.5036101083032491\n", " date: 2022-06-01_19-36-57\n", " done: true\n", " experiment_id: 62a7f0d4290c4867b7787f9caa632211\n", " experiment_tag: 99_k_dev=2.5238,value_type=close,window=80\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 15053\n", " time_since_restore: 6.573130369186401\n", " time_this_iter_s: 6.573130369186401\n", " time_total_s: 6.573130369186401\n", " timestamp: 1654101417\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00099\n", " warmup_time: 0.005975246429443359\n", " \n", "Result for trainable_9e7a8_00098:\n", " accuracy: 0.47390396659707723\n", " date: 2022-06-01_19-36-58\n", " done: false\n", " experiment_id: cd2c37116e144082a6da65f8c7d8bfd9\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 15042\n", " time_since_restore: 6.615413188934326\n", " time_this_iter_s: 6.615413188934326\n", " time_total_s: 6.615413188934326\n", " timestamp: 1654101418\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00098\n", " warmup_time: 0.0027577877044677734\n", " \n", "Result for trainable_9e7a8_00098:\n", " accuracy: 0.47390396659707723\n", " date: 2022-06-01_19-36-58\n", " done: true\n", " experiment_id: cd2c37116e144082a6da65f8c7d8bfd9\n", " experiment_tag: 98_k_dev=2.0235,value_type=high,window=70\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 15042\n", " time_since_restore: 6.615413188934326\n", " time_this_iter_s: 6.615413188934326\n", " time_total_s: 6.615413188934326\n", " timestamp: 1654101418\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00098\n", " warmup_time: 0.0027577877044677734\n", " \n", "Result for trainable_9e7a8_00097:\n", " accuracy: 0.46994160082445896\n", " date: 2022-06-01_19-36-58\n", " done: false\n", " experiment_id: 5b6b0e8265e54763b6c1ef4801a17903\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 15039\n", " time_since_restore: 7.580811500549316\n", " time_this_iter_s: 7.580811500549316\n", " time_total_s: 7.580811500549316\n", " timestamp: 1654101418\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00097\n", " warmup_time: 0.00292205810546875\n", " \n", "Result for trainable_9e7a8_00097:\n", " accuracy: 0.46994160082445896\n", " date: 2022-06-01_19-36-58\n", " done: true\n", " experiment_id: 5b6b0e8265e54763b6c1ef4801a17903\n", " experiment_tag: 97_k_dev=1.5494,value_type=high,window=50\n", " hostname: parf\n", " iterations_since_restore: 1\n", " node_ip: 192.168.1.14\n", " pid: 15039\n", " time_since_restore: 7.580811500549316\n", " time_this_iter_s: 7.580811500549316\n", " time_total_s: 7.580811500549316\n", " timestamp: 1654101418\n", " timesteps_since_restore: 0\n", " training_iteration: 1\n", " trial_id: 9e7a8_00097\n", " warmup_time: 0.00292205810546875\n", " \n" ] }, { "data": { "text/html": [ "== Status ==
Current time: 2022-06-01 19:36:58 (running for 00:03:07.45)
Memory usage on this node: 11.5/15.5 GiB
Using FIFO scheduling algorithm.
Resources requested: 0/12 CPUs, 0/1 GPUs, 0.0/4.27 GiB heap, 0.0/2.13 GiB objects (0.0/1.0 accelerator_type:G)
Current best trial: 9e7a8_00095 with accuracy=0.5932203389830508 and parameters={'window': 100, 'value_type': 'low', 'k_dev': 3.9285854094927943}
Result logdir: /home/parf/ray_results/trainable_2022-06-01_19-33-51
Number of trials: 100/100 (100 TERMINATED)
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Trial name status loc k_devvalue_type window iter total time (s) accuracy
trainable_9e7a8_00000TERMINATED192.168.1.14:9985 3.58725close 30 1 13.7399 0.461538
trainable_9e7a8_00001TERMINATED192.168.1.14:100192.9955 high 90 1 14.5833 0.507092
trainable_9e7a8_00002TERMINATED192.168.1.14:100213.91286high 20 1 15.0379 0.504348
trainable_9e7a8_00003TERMINATED192.168.1.14:100232.40783low 40 1 13.5834 0.497368
trainable_9e7a8_00004TERMINATED192.168.1.14:100252.83742high 95 1 14.6791 0.485861
trainable_9e7a8_00005TERMINATED192.168.1.14:100262.78332open 70 1 14.7243 0.517321
trainable_9e7a8_00006TERMINATED192.168.1.14:100292.02252low 90 1 14.946 0.488022
trainable_9e7a8_00007TERMINATED192.168.1.14:100312.04865close 30 1 14.5712 0.490678
trainable_9e7a8_00008TERMINATED192.168.1.14:100332.38263high 55 1 14.9762 0.460823
trainable_9e7a8_00009TERMINATED192.168.1.14:100352.9824 low 95 1 13.9972 0.546099
trainable_9e7a8_00010TERMINATED192.168.1.14:100361.96683high 95 1 14.459 0.488717
trainable_9e7a8_00011TERMINATED192.168.1.14:100381.36129low 5 1 15.2408 0.467798
trainable_9e7a8_00012TERMINATED192.168.1.14:104483.81256open 15 1 14.0255 0.512111
trainable_9e7a8_00013TERMINATED192.168.1.14:106941.80733high 35 1 15.5294 0.469178
trainable_9e7a8_00014TERMINATED192.168.1.14:107051.52009low 65 1 16.2017 0.477317
trainable_9e7a8_00015TERMINATED192.168.1.14:107181.5003 high 30 1 17.1894 0.463359
trainable_9e7a8_00016TERMINATED192.168.1.14:107383.82771low 70 1 15.3816 0.555556
trainable_9e7a8_00017TERMINATED192.168.1.14:107912.9332 high 95 1 15.4006 0.488746
trainable_9e7a8_00018TERMINATED192.168.1.14:108201.97031open 50 1 15.1525 0.485556
trainable_9e7a8_00019TERMINATED192.168.1.14:108263.3669 high 20 1 13.7738 0.513043
trainable_9e7a8_00020TERMINATED192.168.1.14:108271.2511 high 30 1 17.4874 0.454133
trainable_9e7a8_00021TERMINATED192.168.1.14:108321.18569open 85 1 17.3648 0.459429
trainable_9e7a8_00022TERMINATED192.168.1.14:108512.9816 low 40 1 16.078 0.523297
trainable_9e7a8_00023TERMINATED192.168.1.14:108531.12381close 10 1 17.483 0.45294
trainable_9e7a8_00024TERMINATED192.168.1.14:112122.37796open 30 1 13.0993 0.495187
trainable_9e7a8_00025TERMINATED192.168.1.14:112773.76634open 80 1 14.2495 0.539474
trainable_9e7a8_00026TERMINATED192.168.1.14:112781.58155low 85 1 15.2918 0.472512
trainable_9e7a8_00027TERMINATED192.168.1.14:112832.00967open 90 1 14.2923 0.496306
trainable_9e7a8_00028TERMINATED192.168.1.14:112863.50349low 60 1 13.5072 0.520408
trainable_9e7a8_00029TERMINATED192.168.1.14:113653.12407open 65 1 14.4316 0.528926
trainable_9e7a8_00030TERMINATED192.168.1.14:113672.93617high 60 1 14.8449 0.482072
trainable_9e7a8_00031TERMINATED192.168.1.14:113692.56237high 40 1 14.6788 0.45229
trainable_9e7a8_00032TERMINATED192.168.1.14:115422.71263close 20 1 14.4148 0.505119
trainable_9e7a8_00033TERMINATED192.168.1.14:115451.61494close 15 1 15.1469 0.482875
trainable_9e7a8_00034TERMINATED192.168.1.14:115482.25605open 75 1 15.9088 0.496572
trainable_9e7a8_00035TERMINATED192.168.1.14:115491.19443high 95 1 17.696 0.455859
trainable_9e7a8_00036TERMINATED192.168.1.14:117052.10051open 70 1 15.7228 0.479073
trainable_9e7a8_00037TERMINATED192.168.1.14:118032.1924 close 80 1 15.1245 0.487052
trainable_9e7a8_00038TERMINATED192.168.1.14:118203.33683low 80 1 15.9513 0.574324
trainable_9e7a8_00039TERMINATED192.168.1.14:118342.42366open 95 1 15.0165 0.511318
trainable_9e7a8_00040TERMINATED192.168.1.14:118423.82909low 20 1 14.4795 0.527132
trainable_9e7a8_00041TERMINATED192.168.1.14:118441.00435low 40 1 17.1685 0.455942
trainable_9e7a8_00042TERMINATED192.168.1.14:118582.13066close 45 1 15.049 0.487709
trainable_9e7a8_00043TERMINATED192.168.1.14:118603.78005low 70 1 14.7974 0.55
trainable_9e7a8_00044TERMINATED192.168.1.14:121231.43104close 65 1 13.7972 0.470256
trainable_9e7a8_00045TERMINATED192.168.1.14:121412.24024open 65 1 12.4284 0.48528
trainable_9e7a8_00046TERMINATED192.168.1.14:121452.34936open 5 1 13.9976 0.469972
trainable_9e7a8_00047TERMINATED192.168.1.14:122233.95935open 55 1 11.8977 0.559322
trainable_9e7a8_00048TERMINATED192.168.1.14:123042.62893high 90 1 11.2398 0.499044
trainable_9e7a8_00049TERMINATED192.168.1.14:123642.98399close 55 1 13.6483 0.485876
trainable_9e7a8_00050TERMINATED192.168.1.14:124563.40408close 10 1 12.2509 0.125
trainable_9e7a8_00051TERMINATED192.168.1.14:124581.63469open 15 1 13.8535 0.473944
trainable_9e7a8_00052TERMINATED192.168.1.14:124591.55978close 60 1 13.8552 0.47585
trainable_9e7a8_00053TERMINATED192.168.1.14:124612.58736high 35 1 13.8318 0.443564
trainable_9e7a8_00054TERMINATED192.168.1.14:124661.46559low 50 1 13.2653 0.47148
trainable_9e7a8_00055TERMINATED192.168.1.14:124682.74483high 70 1 12.6813 0.489247
trainable_9e7a8_00056TERMINATED192.168.1.14:124712.93169open 20 1 13.4231 0.516569
trainable_9e7a8_00057TERMINATED192.168.1.14:127763.34213high 10 1 14.1506 0.477745
trainable_9e7a8_00058TERMINATED192.168.1.14:128471.98504high 60 1 16.3026 0.468586
trainable_9e7a8_00059TERMINATED192.168.1.14:128492.80529open 75 1 15.4235 0.525424
trainable_9e7a8_00060TERMINATED192.168.1.14:128521.24152close 75 1 17.0097 0.460865
trainable_9e7a8_00061TERMINATED192.168.1.14:130832.58144close 70 1 14.886 0.510373
trainable_9e7a8_00062TERMINATED192.168.1.14:130891.61595close 85 1 15.6194 0.47546
trainable_9e7a8_00063TERMINATED192.168.1.14:131061.88298low 80 1 14.9946 0.484632
trainable_9e7a8_00064TERMINATED192.168.1.14:131282.87921high 95 1 15.3861 0.501416
trainable_9e7a8_00065TERMINATED192.168.1.14:131303.3177 low 40 1 14.7332 0.54902
trainable_9e7a8_00066TERMINATED192.168.1.14:131321.65135close 75 1 15.9992 0.474268
trainable_9e7a8_00067TERMINATED192.168.1.14:131332.71342low 95 1 15.0508 0.532895
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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "2022-06-01 19:36:58,602\tINFO tune.py:701 -- Total run time: 187.59 seconds (187.44 seconds for the tuning loop).\n" ] } ], "source": [ "analysis = tune.run(trainable, config=config, num_samples=100, mode='max', metric='accuracy')" ] }, { "cell_type": "markdown", "id": "c274a392", "metadata": {}, "source": [ "Let's see who was the best" ] }, { "cell_type": "code", "execution_count": 31, "id": "b59aca0f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'window': 100, 'value_type': 'low', 'k_dev': 3.9285854094927943}" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "analysis.best_config" ] } ], "metadata": { "kernelspec": { "display_name": "Kernel for market trade lib", "language": "python", "name": "markettrade_kernel" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.12" } }, "nbformat": 4, "nbformat_minor": 5 }