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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-large |
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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-large-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-large-billsum |
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This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3660 |
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- Rouge1: 54.3212 |
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- Rouge2: 34.3078 |
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- Rougel: 43.7536 |
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- Rougelsum: 47.5193 |
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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: 4 |
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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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| 1.6948 | 1.0 | 1250 | 1.4332 | 52.7319 | 33.508 | 42.6688 | 46.3992 | |
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| 1.4965 | 2.0 | 2500 | 1.3864 | 53.6841 | 33.9189 | 43.3753 | 46.951 | |
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| 1.4333 | 3.0 | 3750 | 1.3707 | 54.2166 | 34.2285 | 43.5537 | 47.2979 | |
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| 1.4006 | 4.0 | 5000 | 1.3660 | 54.3212 | 34.3078 | 43.7536 | 47.5193 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.5.0+cu121 |
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- Datasets 3.0.2 |
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- Tokenizers 0.19.1 |
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