End of training
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README.md
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.
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- eval_precision: 0.9940
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- eval_recall: 0.9875
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- eval_f1: 0.9906
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- eval_runtime: 2.
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- eval_samples_per_second:
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- eval_steps_per_second: 4.
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- epoch:
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- step:
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## Model description
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.0548
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- eval_precision: 0.9940
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- eval_recall: 0.9875
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- eval_f1: 0.9906
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- eval_runtime: 2.7854
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- eval_samples_per_second: 36.62
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- eval_steps_per_second: 4.667
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- epoch: 3.12
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- step: 150
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## Model description
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model.safetensors
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runs/Jan12_11-31-34_92be165f262d/events.out.tfevents.1705059101.92be165f262d.357.1
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training_args.bin
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