End of training
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README.md
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base_model: bert-base-cased
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: liar_binaryclassifier_bert_cased
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results: []
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) 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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- lr_scheduler_type: linear
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| 0.677 | 1.0 | 461 | 0.6483 | 0.6421 |
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| 0.6339 | 2.0 | 922 | 0.6278 | 0.6551 |
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| 0.597 | 3.0 | 1383 | 0.6300 | 0.6681 |
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| 0.5739 | 4.0 | 1844 | 0.6319 | 0.6638 |
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| 0.5544 | 5.0 | 2305 | 0.6317 | 0.6616 |
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### Framework versions
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- Transformers 4.40.0
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base_model: bert-base-cased
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tags:
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- generated_from_trainer
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model-index:
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- name: liar_binaryclassifier_bert_cased
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results: []
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.6935
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- eval_accuracy: 0.5423
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- eval_runtime: 2.2957
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- eval_samples_per_second: 200.809
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- eval_steps_per_second: 25.264
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- step: 0
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Framework versions
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- Transformers 4.40.0
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model.safetensors
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runs/Apr26_11-00-19_654ca838e300/events.out.tfevents.1714129222.654ca838e300.846.0
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training_args.bin
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