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--- |
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license: apache-2.0 |
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base_model: google/flan-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: bw58_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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# bw58_billsum_model |
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1628 |
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- Rouge1: 0.402 |
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- Rouge2: 0.162 |
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- Rougel: 0.286 |
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- Rougelsum: 0.2864 |
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- Gen Len: 99.9879 |
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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: 15 |
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- eval_batch_size: 15 |
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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 | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
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| 2.7337 | 1.0 | 66 | 2.2892 | 0.32 | 0.1024 | 0.2173 | 0.2179 | 89.6048 | |
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| 2.5608 | 2.0 | 132 | 2.1977 | 0.376 | 0.1413 | 0.2618 | 0.262 | 97.7863 | |
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| 2.5009 | 3.0 | 198 | 2.1694 | 0.4009 | 0.1615 | 0.2846 | 0.285 | 99.9194 | |
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| 2.4203 | 4.0 | 264 | 2.1628 | 0.402 | 0.162 | 0.286 | 0.2864 | 99.9879 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.1.0+cu121 |
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- Tokenizers 0.15.2 |
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