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

# flan-t5-small-chat

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4063
- Rouge1: 12.3084
- Rouge2: 4.6455
- Rougel: 12.1876
- Rougelsum: 12.1825
- Gen Len: 16.2885

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 2.6252        | 1.0   | 2000 | 2.4694          | 12.2248 | 4.6103 | 12.1019 | 12.0965   | 15.146  |
| 2.5362        | 2.0   | 4000 | 2.4252          | 12.2682 | 4.7742 | 12.136  | 12.1353   | 15.9622 |
| 2.466         | 3.0   | 6000 | 2.4110          | 12.0624 | 4.4491 | 11.9607 | 11.954    | 16.2845 |
| 2.459         | 4.0   | 8000 | 2.4063          | 12.3084 | 4.6455 | 12.1876 | 12.1825   | 16.2885 |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1