---
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: T5_base_fine_tuned
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# T5_base_fine_tuned

This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on the BillSum dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1618
- Rouge1: 0.1578
- Rouge2: 0.0635
- Rougel: 0.1288
- Rougelsum: 0.1288
- Gen Len: 19.0

## 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: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.487         | 1.0   | 1000 | 2.1837          | 0.1507 | 0.0586 | 0.1233 | 0.1233    | 19.0    |
| 1.4014        | 2.0   | 2000 | 2.1688          | 0.1571 | 0.0639 | 0.1282 | 0.1282    | 19.0    |
| 1.3501        | 3.0   | 3000 | 2.1673          | 0.1564 | 0.063  | 0.1283 | 0.1283    | 19.0    |
| 1.3332        | 4.0   | 4000 | 2.1618          | 0.1578 | 0.0635 | 0.1288 | 0.1288    | 19.0    |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3