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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: results |
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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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# results |
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2933 |
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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: 1 |
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- eval_batch_size: 1 |
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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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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.5922 | 1.0 | 176 | 1.6306 | |
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| 0.5199 | 2.0 | 352 | 0.3777 | |
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| 0.4592 | 3.0 | 528 | 0.3371 | |
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| 0.3187 | 4.0 | 704 | 0.3111 | |
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| 0.3016 | 5.0 | 880 | 0.2977 | |
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| 0.2335 | 6.0 | 1056 | 0.2938 | |
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| 0.1684 | 7.0 | 1232 | 0.2874 | |
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| 0.1294 | 8.0 | 1408 | 0.2960 | |
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| 0.1348 | 9.0 | 1584 | 0.2924 | |
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| 0.137 | 10.0 | 1760 | 0.2933 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Tokenizers 0.15.2 |
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