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--- |
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base_model: ifyou819/summary-bbc-dataset-v2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: summary-bbc-dataset-v3 |
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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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# summary-bbc-dataset-v3 |
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This model is a fine-tuned version of [ifyou819/summary-bbc-dataset-v2](https://huggingface.co/ifyou819/summary-bbc-dataset-v2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.4933 |
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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: 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: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 4.2223 | 1.0 | 389 | 4.4309 | |
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| 4.036 | 2.0 | 778 | 4.1116 | |
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| 4.5664 | 3.0 | 1167 | 3.7281 | |
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| 4.433 | 4.0 | 1556 | 3.5458 | |
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### ROUGE |
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- ROUGE-1: 0.49982644153722755 |
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- ROUGE-2: 0.3573461939690437 |
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- ROUGE-L: 0.3885775705849566 |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.19.1 |
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