---
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: 0.0455
- Rouge1: 93.7107
- Rouge2: 87.4214
- Rougel: 93.7107
- Rougelsum: 93.7107
- Gen Len: 3.0

## 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   | 318  | 0.0494          | 93.5535 | 87.1069 | 93.5535 | 93.5535   | 3.0     |
| 0.0889        | 2.0   | 636  | 0.0468          | 93.5535 | 87.1069 | 93.5535 | 93.5535   | 3.0     |
| 0.0889        | 3.0   | 954  | 0.0447          | 94.4182 | 88.8365 | 94.4182 | 94.4182   | 3.0     |
| 0.0448        | 4.0   | 1272 | 0.0455          | 93.7107 | 87.4214 | 93.7107 | 93.7107   | 3.0     |


### Framework versions

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