---
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: my_awesome_billsum_model_10
  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. -->

# my_awesome_billsum_model_10

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: 1.2479
- Rouge1: 0.4356
- Rouge2: 0.3223
- Rougel: 0.4176
- Rougelsum: 0.4181
- Gen Len: 16.0417

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- 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   | 12   | 2.0694          | 0.4045 | 0.2872 | 0.3849 | 0.3843    | 17.6042 |
| No log        | 2.0   | 24   | 1.6633          | 0.4119 | 0.2976 | 0.3919 | 0.3914    | 17.4792 |
| No log        | 3.0   | 36   | 1.3738          | 0.4404 | 0.3235 | 0.4195 | 0.4193    | 16.2917 |
| No log        | 4.0   | 48   | 1.2479          | 0.4356 | 0.3223 | 0.4176 | 0.4181    | 16.0417 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1