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 an unknown dataset.
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It achieves the following results on the evaluation set:
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## Model description
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- num_epochs: 1
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.1082 | 1.0 | 1 | 4.3916 |
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### Framework versions
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- Transformers 4.35.2
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 4.4291
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- eval_runtime: 0.0319
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- eval_samples_per_second: 62.736
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- eval_steps_per_second: 31.368
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- epoch: 1.0
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- step: 1
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## Model description
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- num_epochs: 1
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.35.2
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model.safetensors
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runs/Jan17_06-45-41_9e8811c6b851/events.out.tfevents.1705473944.9e8811c6b851.3247.6
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trainer_state.json
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"epoch": 1.0,
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"loss": 1.
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"eval_loss": 4.
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"eval_samples_per_second":
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"train_loss": 1.108170986175537,
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"train_runtime": 16.482,
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"train_samples_per_second": 0.485,
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"train_steps_per_second": 0.061
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"logging_steps": 1,
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"eval_loss": 4.429092884063721,
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"eval_runtime": 0.0319,
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"eval_samples_per_second": 62.736,
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"eval_steps_per_second": 31.368,
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"step": 1
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"logging_steps": 1,
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training_args.bin
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