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

# summarization_fine_tune_peft

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: 3.7075
- Rouge1: 0.1357
- Rouge2: 0.045
- Rougel: 0.1149
- Rougelsum: 0.1149
- 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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 62   | 4.7640          | 0.1417 | 0.0501 | 0.1206 | 0.1207    | 19.0    |
| No log        | 2.0   | 124  | 4.1242          | 0.1408 | 0.0486 | 0.1194 | 0.1193    | 19.0    |
| No log        | 3.0   | 186  | 3.8060          | 0.136  | 0.0462 | 0.1155 | 0.1155    | 19.0    |
| No log        | 4.0   | 248  | 3.7075          | 0.1357 | 0.045  | 0.1149 | 0.1149    | 19.0    |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2