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billsum_summarizer
mouazc/billsum_summarizer
billsum_summarizer is a machine learning model from mouazc. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Dec 12, 2024
- Updated
- Dec 12, 2024
- SHA
- e15111a1
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
billsum_summarizer
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7818
- Rouge1: 0.0192
- Rouge2: 0.0153
- Rougel: 0.0189
- Rougelsum: 0.019
- Gen Len: 1.9174
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 164 | 2.0044 | 0.0001 | 0.0 | 0.0001 | 0.0001 | 0.0291 |
| No log | 2.0 | 328 | 1.8518 | 0.0024 | 0.0019 | 0.0024 | 0.0024 | 0.2905 |
| No log | 3.0 | 492 | 1.7958 | 0.0137 | 0.0107 | 0.0135 | 0.0136 | 1.4526 |
| 2.471 | 4.0 | 656 | 1.7818 | 0.0192 | 0.0153 | 0.0189 | 0.019 | 1.9174 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Tokenizers 0.20.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Dec 12, 2024
- Updated
- Dec 12, 2024