Training in progress, epoch 2
Browse files- model.safetensors +1 -1
- runs/Mar06_15-36-27_64d026e37c1e/events.out.tfevents.1709739388.64d026e37c1e.34.1 +2 -2
- wandb/debug-internal.log +24 -0
- wandb/run-20240306_153450-l1uc7yan/files/config.yaml +32 -0
- wandb/run-20240306_153450-l1uc7yan/files/output.log +2 -0
- wandb/run-20240306_153450-l1uc7yan/files/wandb-summary.json +1 -1
- wandb/run-20240306_153450-l1uc7yan/logs/debug-internal.log +24 -0
model.safetensors
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runs/Mar06_15-36-27_64d026e37c1e/events.out.tfevents.1709739388.64d026e37c1e.34.1
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wandb/debug-internal.log
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wandb/run-20240306_153450-l1uc7yan/files/config.yaml
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wandb/run-20240306_153450-l1uc7yan/files/output.log
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Some weights of BertForSequenceClassification were not initialized from the model checkpoint at lanwuwei/BERTOverflow_stackoverflow_github and are newly initialized: ['classifier.bias', 'classifier.weight']
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You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
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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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Some weights of BertForSequenceClassification were not initialized from the model checkpoint at lanwuwei/BERTOverflow_stackoverflow_github and are newly initialized: ['classifier.bias', 'classifier.weight']
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You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
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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_153450-l1uc7yan/files/wandb-summary.json
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{"train/loss": 1.
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{"train/loss": 1.8114, "train/grad_norm": 4.968899726867676, "train/learning_rate": 1.2e-05, "train/epoch": 2.0, "train/global_step": 62, "_timestamp": 1709739450.3015118, "_runtime": 159.38722586631775, "_step": 4, "eval/loss": 1.769439935684204, "eval/accuracy": 0.34545454545454546, "eval/precision": 0.11933884297520661, "eval/recall": 0.34545454545454546, "eval/f1": 0.17739557739557738, "eval/runtime": 2.0329, "eval/samples_per_second": 27.055, "eval/steps_per_second": 1.968}
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wandb/run-20240306_153450-l1uc7yan/logs/debug-internal.log
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