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

# model

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5554
- Rouge1: 0.1373
- Rouge2: 0.0523
- Rougel: 0.1144
- Rougelsum: 0.1143
- 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: 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   | 352  | 2.9188          | 0.1238 | 0.0477 | 0.1066 | 0.1067    | 19.0    |
| 3.715         | 2.0   | 704  | 2.6310          | 0.1338 | 0.0523 | 0.1135 | 0.1136    | 19.0    |
| 2.8749        | 3.0   | 1056 | 2.5698          | 0.1349 | 0.0502 | 0.1122 | 0.1121    | 19.0    |
| 2.8749        | 4.0   | 1408 | 2.5554          | 0.1373 | 0.0523 | 0.1144 | 0.1143    | 19.0    |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1