---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-b8-e10-1024-128
  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. -->

# mt5-small-finetuned-b8-e10-1024-128

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: 3.3822
- Rouge1: 13.327
- Rouge2: 4.8244
- Rougel: 13.1978
- Rougelsum: 13.2133
- Gen Len: 17.5592

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 4.7372        | 1.0   | 1357  | 3.8287          | 9.3951  | 3.6576 | 9.342   | 9.3047    | 12.6653 |
| 4.3162        | 2.0   | 2714  | 3.6750          | 10.9224 | 4.1119 | 10.8209 | 10.8235   | 15.0997 |
| 4.1726        | 3.0   | 4071  | 3.5668          | 11.7438 | 4.2353 | 11.6204 | 11.6087   | 16.5169 |
| 4.0439        | 4.0   | 5428  | 3.5002          | 12.402  | 4.4267 | 12.2785 | 12.2924   | 17.0402 |
| 3.9978        | 5.0   | 6785  | 3.4494          | 12.7762 | 4.5509 | 12.6699 | 12.6829   | 17.2466 |
| 3.9687        | 6.0   | 8142  | 3.4229          | 12.9652 | 4.6727 | 12.8555 | 12.8761   | 17.4303 |
| 3.8639        | 7.0   | 9499  | 3.4058          | 13.4216 | 4.784  | 13.3097 | 13.2988   | 17.4252 |
| 3.8474        | 8.0   | 10856 | 3.3924          | 13.2422 | 4.7672 | 13.1416 | 13.12     | 17.5046 |
| 3.843         | 9.0   | 12213 | 3.3845          | 13.2519 | 4.8713 | 13.1421 | 13.1304   | 17.5371 |
| 3.8545        | 10.0  | 13570 | 3.3822          | 13.327  | 4.8244 | 13.1978 | 13.2133   | 17.5592 |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.14.6
- Tokenizers 0.13.3