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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| 0.9982 | 1.0 | 1 | 4.0122 |
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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: 4.0211
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- eval_runtime: 0.0298
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- eval_samples_per_second: 67.051
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- eval_steps_per_second: 33.525
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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_06-30-10_9e8811c6b851/events.out.tfevents.1705473013.9e8811c6b851.3247.2
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trainer_state.json
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{
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"epoch": 1.0,
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"learning_rate": 0.0,
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"loss":
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"step": 1
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{
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"epoch": 1.0,
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"eval_loss": 4.
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"eval_runtime": 0.
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"eval_samples_per_second":
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"eval_steps_per_second":
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"step": 1
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},
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{
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"epoch": 1.0,
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"step": 1,
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"total_flos": 584109418464.0,
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"train_loss": 0.9981689453125,
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"train_runtime": 19.7049,
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"train_samples_per_second": 0.406,
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"train_steps_per_second": 0.051
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}
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],
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"logging_steps": 1,
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{
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"epoch": 1.0,
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"learning_rate": 0.0,
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"loss": 1.0194,
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"step": 1
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{
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"epoch": 1.0,
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"eval_loss": 4.0211181640625,
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"eval_runtime": 0.0298,
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"eval_samples_per_second": 67.051,
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"eval_steps_per_second": 33.525,
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"step": 1
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}
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],
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"logging_steps": 1,
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training_args.bin
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