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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: t5-small |
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tags: |
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- summarization |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: t5-small-finetuned-cnn-news |
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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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# t5-small-finetuned-cnn-news |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3455 |
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- Rouge1: 25.2386 |
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- Rouge2: 9.5343 |
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- Rougel: 20.6686 |
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- Rougelsum: 23.2614 |
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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: 0.00056 |
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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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:| |
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| 1.1393 | 1.0 | 718 | 2.4712 | 23.3266 | 8.6693 | 18.9609 | 21.406 | |
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| 1.7054 | 2.0 | 1436 | 2.2697 | 24.3337 | 9.4775 | 20.1514 | 22.5425 | |
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| 1.5479 | 3.0 | 2154 | 2.2868 | 24.3861 | 9.0245 | 20.0315 | 22.582 | |
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| 1.4377 | 4.0 | 2872 | 2.3311 | 25.0473 | 9.4761 | 20.4587 | 23.0242 | |
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| 1.3533 | 5.0 | 3590 | 2.3455 | 25.2386 | 9.5343 | 20.6686 | 23.2614 | |
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### Framework versions |
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- Transformers 4.46.2 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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