---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- opus_books
model-index:
- name: mt5-small-finetuned-8epochs-opus_books-en-to-it
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mt5-small-finetuned-8epochs-opus_books-en-to-it

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the opus_books dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7220

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 4.1572        | 1.0   | 3638  | 3.1652          |
| 3.7846        | 2.0   | 7276  | 2.9708          |
| 3.6056        | 3.0   | 10914 | 2.8673          |
| 3.4722        | 4.0   | 14552 | 2.8067          |
| 3.4006        | 5.0   | 18190 | 2.7665          |
| 3.344         | 6.0   | 21828 | 2.7414          |
| 3.3131        | 7.0   | 25466 | 2.7268          |
| 3.3251        | 8.0   | 29104 | 2.7220          |


### Framework versions

- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1