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---
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: TennesseeLegislationBillSummarizer
results: []
---
<!-- 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. -->
# TennesseeLegislationBillSummarizer
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9393
- Rouge1: 0.5251
- Rouge2: 0.4185
- Rougel: 0.4987
- Rougelsum: 0.4987
- Gen Len: 19.6969
## 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: 5
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.1485 | 1.0 | 15881 | 1.0192 | 0.5167 | 0.4071 | 0.4899 | 0.49 | 19.7533 |
| 1.0839 | 2.0 | 31762 | 0.9754 | 0.5185 | 0.4101 | 0.4918 | 0.4919 | 19.7608 |
| 1.0474 | 3.0 | 47643 | 0.9542 | 0.5228 | 0.4151 | 0.4961 | 0.4961 | 19.7375 |
| 1.0541 | 4.0 | 63524 | 0.9428 | 0.5247 | 0.4177 | 0.4981 | 0.4982 | 19.7032 |
| 1.0252 | 5.0 | 79405 | 0.9393 | 0.5251 | 0.4185 | 0.4987 | 0.4987 | 19.6969 |
### Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
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