Training in progress, epoch 2
Browse files- model.safetensors +1 -1
- runs/Mar06_16-01-10_30b2b3b8a538/events.out.tfevents.1709740872.30b2b3b8a538.186.0 +2 -2
- wandb/debug-internal.log +35 -0
- wandb/run-20240306_160115-aj5k3nji/files/output.log +2 -0
- wandb/run-20240306_160115-aj5k3nji/files/wandb-summary.json +1 -1
- wandb/run-20240306_160115-aj5k3nji/logs/debug-internal.log +35 -0
- wandb/run-20240306_160115-aj5k3nji/run-aj5k3nji.wandb +0 -0
model.safetensors
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runs/Mar06_16-01-10_30b2b3b8a538/events.out.tfevents.1709740872.30b2b3b8a538.186.0
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/opt/conda/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.
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/opt/conda/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.
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_warn_prf(average, modifier, msg_start, len(result))
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/opt/conda/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.
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wandb/run-20240306_160115-aj5k3nji/files/wandb-summary.json
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{"train/loss": 1.5534, "train/grad_norm": 12.50491714477539, "train/learning_rate": 1.2057971014492755e-05, "train/epoch": 2.0, "train/global_step": 276, "_timestamp": 1709741041.0833251, "_runtime": 166.0166380405426, "_step": 3, "eval/loss": 1.6335408687591553, "eval/accuracy": 0.43089430894308944, "eval/precision": 0.32032959393500327, "eval/recall": 0.43089430894308944, "eval/f1": 0.3321940158177092, "eval/runtime": 2.4761, "eval/samples_per_second": 49.676, "eval/steps_per_second": 6.462}
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