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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: t5-small-hardaDerailKP |
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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-hardaDerailKP |
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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: 1.1782 |
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- Rouge1: 51.8379 |
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- Rouge2: 41.3714 |
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- Rougel: 51.9665 |
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- Rougelsum: 51.9518 |
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- Gen Len: 6.8067 |
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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: 5e-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: 5 |
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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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| 1.2491 | 1.0 | 3079 | 1.2203 | 51.123 | 40.4019 | 51.1098 | 51.1009 | 6.8389 | |
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| 1.0688 | 2.0 | 6158 | 1.1890 | 50.7818 | 40.0174 | 50.827 | 50.8336 | 6.7285 | |
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| 1.0126 | 3.0 | 9237 | 1.1782 | 51.8379 | 41.3714 | 51.9665 | 51.9518 | 6.8067 | |
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| 0.9778 | 4.0 | 12316 | 1.1825 | 51.1751 | 40.5841 | 51.231 | 51.254 | 6.8103 | |
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| 0.9071 | 5.0 | 15395 | 1.1858 | 51.0503 | 40.212 | 51.1279 | 51.1203 | 6.7655 | |
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### Framework versions |
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- Transformers 4.39.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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