---
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: 0.1109
- Rouge1: 78.7129
- Rouge2: 57.4257
- Rougel: 78.7129
- Rougelsum: 78.7129
- 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   | 51   | 0.1385          | 75.7426 | 51.4851 | 75.7426 | 75.7426   | 3.0     |
| No log        | 2.0   | 102  | 0.1108          | 80.198  | 60.396  | 80.198  | 80.198    | 3.0     |
| No log        | 3.0   | 153  | 0.1127          | 77.7228 | 55.4455 | 77.7228 | 77.7228   | 3.0     |
| No log        | 4.0   | 204  | 0.1109          | 78.7129 | 57.4257 | 78.7129 | 78.7129   | 3.0     |


### Framework versions

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