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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: google-t5/t5-base |
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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: billsum-model |
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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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# billsum-model |
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This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co./google-t5/t5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.2894 |
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- Rouge1: 0.4161 |
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- Rouge2: 0.1838 |
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- Rougel: 0.2786 |
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- Rougelsum: 0.2791 |
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- Gen Len: 149.0 |
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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: 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: 4 |
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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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| No log | 1.0 | 248 | 2.4737 | 0.3984 | 0.1645 | 0.261 | 0.2607 | 144.9718 | |
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| No log | 2.0 | 496 | 2.3435 | 0.4126 | 0.1783 | 0.2762 | 0.2764 | 148.754 | |
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| 3.4184 | 3.0 | 744 | 2.3004 | 0.4162 | 0.1814 | 0.2765 | 0.2767 | 149.0 | |
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| 3.4184 | 4.0 | 992 | 2.2894 | 0.4161 | 0.1838 | 0.2786 | 0.2791 | 149.0 | |
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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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