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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_classifier_2 |
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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_classifier_2 |
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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: 0.3874 |
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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: 48 |
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- eval_batch_size: 48 |
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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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- 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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| 0.2769 | 1.0 | 131 | 0.1763 | |
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| 0.1895 | 2.0 | 262 | 0.1550 | |
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| 0.1691 | 3.0 | 393 | 0.1644 | |
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| 0.1746 | 4.0 | 524 | 0.2206 | |
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| 0.1151 | 5.0 | 655 | 0.1611 | |
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| 0.1124 | 6.0 | 786 | 0.2018 | |
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| 0.0651 | 7.0 | 917 | 0.2303 | |
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| 0.0514 | 8.0 | 1048 | 0.2463 | |
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| 0.0327 | 9.0 | 1179 | 0.3513 | |
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| 0.0185 | 10.0 | 1310 | 0.3874 | |
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### Framework versions |
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- Transformers 4.41.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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