Training in progress, epoch 3
Browse files- model.safetensors +1 -1
- runs/Mar07_03-35-46_8bb175de6f67/events.out.tfevents.1709782548.8bb175de6f67.34.0 +2 -2
- wandb/debug-internal.log +27 -0
- wandb/run-20240307_033604-u9myy8y3/files/output.log +2 -0
- wandb/run-20240307_033604-u9myy8y3/files/wandb-summary.json +1 -1
- wandb/run-20240307_033604-u9myy8y3/logs/debug-internal.log +27 -0
- wandb/run-20240307_033604-u9myy8y3/run-u9myy8y3.wandb +0 -0
model.safetensors
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runs/Mar07_03-35-46_8bb175de6f67/events.out.tfevents.1709782548.8bb175de6f67.34.0
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wandb/run-20240307_033604-u9myy8y3/files/output.log
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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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/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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_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-20240307_033604-u9myy8y3/files/wandb-summary.json
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{"train/loss": 1.6246, "train/grad_norm": 9.643479347229004, "train/learning_rate": 8.064516129032258e-06, "train/epoch": 3.0, "train/global_step": 186, "_timestamp": 1709782692.2407324, "_runtime": 128.22342538833618, "_step": 5, "eval/loss": 1.7605557441711426, "eval/accuracy": 0.41818181818181815, "eval/precision": 0.2806526806526807, "eval/recall": 0.41818181818181815, "eval/f1": 0.31359361641493305, "eval/runtime": 1.1141, "eval/samples_per_second": 49.369, "eval/steps_per_second": 6.283}
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