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{
"root": "/home/akternurra/Documents/projects/quest-for-general-artifical-intelligence/projects/text-recognizer",
"program": "<python with no main file>",
"git": {
"remote": "git@github.com:aktersnurra/text-recognizer.git",
"commit": "fa461db6132e7a22f3aa1bb48cce8981890325fb"
},
"email": "gustaf.rydholm@gmail.com",
"startedAt": "2020-07-31T20:13:50.942628",
"host": "kompjuter",
"username": "akternurra",
"executable": "/home/akternurra/.cache/pypoetry/virtualenvs/text-recognizer-N1c_zsdp-py3.8/bin/python",
"os": "Linux-5.4.0-42-generic-x86_64-with-glibc2.27",
"python": "3.8.2",
"gpu": "GeForce RTX 2070",
"gpu_count": 1,
"cpu_count": 12,
"cuda": "10.1.105",
"args": [
"--gpu=-1",
"--save",
"--experiment_config={\"dataloader\": \"EmnistDataLoader\", \"data_loader_args\": {\"splits\": [\"train\", \"val\"], \"sample_to_balance\": true, \"subsample_fraction\": null, \"transform\": null, \"target_transform\": null, \"batch_size\": 256, \"shuffle\": true, \"num_workers\": 8, \"cuda\": true, \"seed\": 4711}, \"model\": \"CharacterModel\", \"metrics\": [\"accuracy\"], \"network\": \"LeNet\", \"network_args\": {\"input_size\": [28, 28], \"output_size\": 62}, \"train_args\": {\"batch_size\": 256, \"epochs\": 16}, \"criterion\": \"CrossEntropyLoss\", \"criterion_args\": {\"weight\": null, \"ignore_index\": -100, \"reduction\": \"mean\"}, \"optimizer\": \"AdamW\", \"optimizer_args\": {\"lr\": 0.01, \"betas\": [0.9, 0.999], \"eps\": 1e-08, \"weight_decay\": 0, \"amsgrad\": false}, \"lr_scheduler\": \"OneCycleLR\", \"lr_scheduler_args\": {\"max_lr\": 0.001, \"epochs\": 16}, \"callbacks\": [\"Checkpoint\", \"EarlyStopping\", \"WandbCallback\", \"WandbImageLogger\", \"OneCycleLR\"], \"callback_args\": {\"Checkpoint\": {\"monitor\": \"val_accuracy\"}, \"EarlyStopping\": {\"monitor\": \"val_loss\", \"min_delta\": 0.0, \"patience\": 3, \"mode\": \"min\"}, \"WandbCallback\": {\"log_batch_frequency\": 10}, \"WandbImageLogger\": {\"num_examples\": 4}, \"OneCycleLR\": null}, \"verbosity\": 1, \"resume_experiment\": null, \"experiment_group\": \"Sample Experiments\"}"
],
"state": "finished",
"jobType": null,
"mode": "run",
"project": "text-recognizer",
"heartbeatAt": "2020-07-31T20:17:00.828344",
"exitcode": 0
}
|
