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--- |
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library_name: transformers |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bart-copy-mechanism |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# bart-copy-mechanism |
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0335 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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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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| 0.4853 | 0.3658 | 2500 | 0.2050 | |
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| 0.1517 | 0.7315 | 5000 | 0.0839 | |
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| 0.0833 | 1.0973 | 7500 | 0.0652 | |
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| 0.0624 | 1.4631 | 10000 | 0.0491 | |
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| 0.0508 | 1.8288 | 12500 | 0.0441 | |
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| 0.0459 | 2.1946 | 15000 | 0.0410 | |
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| 0.0431 | 2.5604 | 17500 | 0.0387 | |
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| 0.0408 | 2.9261 | 20000 | 0.0373 | |
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| 0.0391 | 3.2919 | 22500 | 0.0361 | |
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| 0.0379 | 3.6576 | 25000 | 0.0350 | |
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| 0.0371 | 4.0234 | 27500 | 0.0343 | |
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| 0.0361 | 4.3892 | 30000 | 0.0339 | |
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| 0.0357 | 4.7549 | 32500 | 0.0335 | |
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### Framework versions |
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- Transformers 4.50.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.1 |
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