---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: outputs
  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. -->

# outputs

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7371
- Rouge1: 8.8243
- Rouge2: 1.3093
- Rougel: 8.7971
- Rougelsum: 8.838
- Gen Len: 18.6465

## 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: 0.0005
- train_batch_size: 1
- eval_batch_size: 1
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 0.8929        | 1.0   | 10995 | 0.8547          | 8.6675 | 1.2002 | 8.6197 | 8.6811    | 18.5008 |
| 0.8248        | 2.0   | 21990 | 0.7847          | 8.8312 | 1.3639 | 8.8073 | 8.8448    | 18.4607 |
| 0.7483        | 3.0   | 32985 | 0.7488          | 8.913  | 1.3639 | 8.8925 | 8.9096    | 18.9223 |
| 0.6492        | 4.0   | 43980 | 0.7371          | 8.8243 | 1.3093 | 8.7971 | 8.838     | 18.6465 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1