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--- |
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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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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: results2 |
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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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# results2 |
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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: 1.2266 |
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- Rouge1: 0.2682 |
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- Rouge2: 0.1194 |
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- Rougel: 0.2208 |
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- Rougelsum: 0.221 |
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- Gen Len: 154.5226 |
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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: 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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- mixed_precision_training: Native AMP |
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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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| 2.6515 | 1.0 | 718 | 1.5195 | 0.0099 | 0.0025 | 0.0087 | 0.0086 | 11.3189 | |
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| 1.731 | 2.0 | 1436 | 1.3920 | 0.1689 | 0.05 | 0.1367 | 0.1366 | 138.9988 | |
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| 1.5415 | 3.0 | 2154 | 1.3232 | 0.206 | 0.0601 | 0.1642 | 0.1642 | 153.786 | |
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| 1.4993 | 4.0 | 2872 | 1.2865 | 0.2082 | 0.0622 | 0.1651 | 0.1651 | 151.953 | |
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| 1.4502 | 5.0 | 3590 | 1.2640 | 0.2366 | 0.087 | 0.1883 | 0.1884 | 153.7628 | |
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| 1.4226 | 6.0 | 4308 | 1.2491 | 0.2526 | 0.1083 | 0.2053 | 0.2057 | 154.0902 | |
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| 1.4175 | 7.0 | 5026 | 1.2385 | 0.2654 | 0.1183 | 0.2168 | 0.2171 | 152.6171 | |
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| 1.3855 | 8.0 | 5744 | 1.2319 | 0.2661 | 0.118 | 0.2184 | 0.2185 | 153.4085 | |
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| 1.3956 | 9.0 | 6462 | 1.2279 | 0.2685 | 0.1194 | 0.2207 | 0.2208 | 154.528 | |
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| 1.3978 | 10.0 | 7180 | 1.2266 | 0.2682 | 0.1194 | 0.2208 | 0.221 | 154.5226 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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