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README.md
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---
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license: apache-2.0
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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: t5-small-billsum-ca
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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-ca
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.3242
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- Rouge1: 0.1984
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- Rouge2: 0.0973
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- Rougel: 0.1709
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- Rougelsum: 0.171
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- Gen Len: 19.0
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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: 2e-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: 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 | 248 | 2.4789 | 0.15 | 0.0549 | 0.1225 | 0.1225 | 19.0 |
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| No log | 2.0 | 496 | 2.3740 | 0.1932 | 0.092 | 0.1647 | 0.165 | 19.0 |
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| 2.888 | 3.0 | 744 | 2.3368 | 0.1982 | 0.0967 | 0.1703 | 0.1704 | 19.0 |
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| 2.888 | 4.0 | 992 | 2.3242 | 0.1984 | 0.0973 | 0.1709 | 0.171 | 19.0 |
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### Framework versions
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- Transformers 4.30.0.dev0
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- Pytorch 2.0.0+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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