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--- |
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license: apache-2.0 |
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base_model: facebook/bart-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bart-base-sci-tr |
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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-base-sci-tr |
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.7617 |
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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: 2e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 3.5107 | 1.0 | 1393 | 3.0242 | |
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| 3.1138 | 2.0 | 2786 | 2.8770 | |
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| 2.9345 | 3.0 | 4179 | 2.8069 | |
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| 2.8044 | 4.0 | 5572 | 2.7668 | |
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| 2.7227 | 5.0 | 6965 | 2.7336 | |
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| 2.6341 | 6.0 | 8358 | 2.7276 | |
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| 2.5523 | 7.0 | 9751 | 2.7026 | |
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| 2.4846 | 8.0 | 11144 | 2.6961 | |
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| 2.4409 | 9.0 | 12537 | 2.6894 | |
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| 2.3699 | 10.0 | 13930 | 2.6853 | |
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| 2.3305 | 11.0 | 15323 | 2.6869 | |
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| 2.2822 | 12.0 | 16716 | 2.6924 | |
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| 2.2392 | 13.0 | 18109 | 2.7042 | |
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| 2.1889 | 14.0 | 19502 | 2.6943 | |
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| 2.1593 | 15.0 | 20895 | 2.6988 | |
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| 2.1228 | 16.0 | 22288 | 2.7032 | |
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| 2.0791 | 17.0 | 23681 | 2.7083 | |
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| 2.0594 | 18.0 | 25074 | 2.7034 | |
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| 2.0239 | 19.0 | 26467 | 2.7182 | |
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| 1.9943 | 20.0 | 27860 | 2.7235 | |
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| 1.9746 | 21.0 | 29253 | 2.7279 | |
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| 1.9624 | 22.0 | 30646 | 2.7337 | |
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| 1.9433 | 23.0 | 32039 | 2.7400 | |
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| 1.9138 | 24.0 | 33432 | 2.7457 | |
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| 1.8971 | 25.0 | 34825 | 2.7489 | |
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| 1.8896 | 26.0 | 36218 | 2.7527 | |
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| 1.873 | 27.0 | 37611 | 2.7576 | |
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| 1.8585 | 28.0 | 39004 | 2.7577 | |
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| 1.8564 | 29.0 | 40397 | 2.7594 | |
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| 1.852 | 30.0 | 41790 | 2.7617 | |
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### Framework versions |
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- Transformers 4.43.4 |
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- Pytorch 1.13.1 |
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- Datasets 2.12.0 |
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- Tokenizers 0.19.1 |
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