---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
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: 0.2367
- Rouge1: 49.588
- Rouge2: 44.597
- Rougel: 46.6928
- Rougelsum: 46.662
- 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 26   | 1.0858          | 4.9303  | 0.674   | 4.7306  | 4.7335    | 8.1731  |
| No log        | 2.0   | 52   | 0.5339          | 39.1598 | 30.9426 | 39.0844 | 39.1597   | 16.3462 |
| No log        | 3.0   | 78   | 0.2892          | 47.1834 | 41.288  | 45.1755 | 45.1471   | 19.0    |
| No log        | 4.0   | 104  | 0.2367          | 49.588  | 44.597  | 46.6928 | 46.662    | 19.0    |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1