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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-dialogsum-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-dialogsum-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: 0.5768 |
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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-06 |
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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: 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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| 0.5847 | 1.0 | 78 | 0.6536 | |
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| 0.6067 | 2.0 | 156 | 0.6077 | |
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| 0.6014 | 3.0 | 234 | 0.5916 | |
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| 0.5525 | 4.0 | 312 | 0.5843 | |
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| 0.5465 | 5.0 | 390 | 0.5808 | |
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| 0.6124 | 6.0 | 468 | 0.5787 | |
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| 0.588 | 7.0 | 546 | 0.5774 | |
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| 0.5782 | 8.0 | 624 | 0.5776 | |
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| 0.5187 | 9.0 | 702 | 0.5771 | |
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| 0.4999 | 10.0 | 780 | 0.5768 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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