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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-billsum |
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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-billsum |
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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: 1.9564 |
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- Rouge1: 50.3551 |
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- Rouge2: 29.3717 |
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- Rougel: 39.4102 |
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- Rougelsum: 43.6247 |
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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: 16 |
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- eval_batch_size: 16 |
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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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- 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 | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:| |
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| 2.5468 | 1.0 | 1185 | 2.0937 | 48.625 | 27.492 | 37.671 | 41.4628 | |
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| 2.2867 | 2.0 | 2370 | 2.0155 | 49.2547 | 28.248 | 38.39 | 42.3374 | |
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| 2.2241 | 3.0 | 3555 | 1.9796 | 49.8802 | 28.8333 | 38.8829 | 43.027 | |
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| 2.1925 | 4.0 | 4740 | 1.9620 | 50.07 | 28.9961 | 39.1086 | 43.3251 | |
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| 2.1791 | 5.0 | 5925 | 1.9576 | 50.2626 | 29.1819 | 39.2415 | 43.4781 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.2 |
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- Tokenizers 0.19.1 |
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