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--- |
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license: apache-2.0 |
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base_model: google-t5/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: my_awesome_billsum_model_10 |
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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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# my_awesome_billsum_model_10 |
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This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2479 |
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- Rouge1: 0.4356 |
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- Rouge2: 0.3223 |
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- Rougel: 0.4176 |
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- Rougelsum: 0.4181 |
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- Gen Len: 16.0417 |
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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: 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 | 12 | 2.0694 | 0.4045 | 0.2872 | 0.3849 | 0.3843 | 17.6042 | |
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| No log | 2.0 | 24 | 1.6633 | 0.4119 | 0.2976 | 0.3919 | 0.3914 | 17.4792 | |
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| No log | 3.0 | 36 | 1.3738 | 0.4404 | 0.3235 | 0.4195 | 0.4193 | 16.2917 | |
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| No log | 4.0 | 48 | 1.2479 | 0.4356 | 0.3223 | 0.4176 | 0.4181 | 16.0417 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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