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--- |
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license: apache-2.0 |
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base_model: t5-large |
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tags: |
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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-large_readme_summarization |
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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-large_readme_summarization |
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This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7393 |
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- Rouge1: 0.4806 |
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- Rouge2: 0.3307 |
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- Rougel: 0.4559 |
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- Rougelsum: 0.4552 |
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- Gen Len: 13.8969 |
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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: 2e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
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| 1.968 | 1.0 | 2916 | 1.8066 | 0.4624 | 0.3113 | 0.4349 | 0.4342 | 14.0995 | |
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| 1.8681 | 2.0 | 5832 | 1.7578 | 0.4791 | 0.327 | 0.453 | 0.4526 | 13.8046 | |
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| 1.875 | 3.0 | 8748 | 1.7441 | 0.479 | 0.3291 | 0.4536 | 0.4536 | 13.8909 | |
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| 1.8169 | 4.0 | 11664 | 1.7393 | 0.4806 | 0.3307 | 0.4559 | 0.4552 | 13.8969 | |
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### Framework versions |
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- Transformers 4.35.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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