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--- |
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license: mit |
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base_model: facebook/bart-large-cnn |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bart-cnn-samsum-finetuned |
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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-cnn-samsum-finetuned |
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This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2177 |
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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: 1e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 6 | 0.3206 | |
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| 1.4764 | 2.0 | 12 | 0.2261 | |
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| 1.4764 | 3.0 | 18 | 0.2178 | |
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| 0.2188 | 4.0 | 24 | 0.2113 | |
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| 0.2077 | 5.0 | 30 | 0.2105 | |
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| 0.2077 | 6.0 | 36 | 0.2146 | |
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| 0.1529 | 7.0 | 42 | 0.2058 | |
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| 0.1529 | 8.0 | 48 | 0.2216 | |
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| 0.1482 | 9.0 | 54 | 0.2060 | |
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| 0.1433 | 10.0 | 60 | 0.2049 | |
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| 0.1433 | 11.0 | 66 | 0.2040 | |
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| 0.1153 | 12.0 | 72 | 0.2117 | |
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| 0.1153 | 13.0 | 78 | 0.2181 | |
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| 0.1022 | 14.0 | 84 | 0.2220 | |
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| 0.1145 | 15.0 | 90 | 0.2177 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.2.2+cpu |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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