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billsum_model_summarizer
SlimeRimuru/billsum_model_summarizer
billsum_model_summarizer is a machine learning model from SlimeRimuru. 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 6, 2025
- Updated
- Dec 6, 2025
- SHA
- ddeef744
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_model_summarizer
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.9252
- Model Preparation Time: 0.0056
- Rouge1: 0.2006
- Rouge2: 0.1289
- Rougel: 0.1814
- Rougelsum: 0.1814
- Gen Len: 20.0
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 250 | 2.9873 | 0.0056 | 0.1874 | 0.1132 | 0.1647 | 0.1648 | 20.0 |
| 3.384 | 2.0 | 500 | 2.9252 | 0.0056 | 0.2006 | 0.1289 | 0.1814 | 0.1814 | 20.0 |
Framework versions
- Transformers 4.57.2
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Dec 6, 2025
- Updated
- Dec 6, 2025