---
language:
- en
- it
- multilingual
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- ccmatrix
model-index:
- name: t5-small-finetuned-en-to-it
  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. -->

# t5-small-finetuned-en-to-it

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the ccmatrix dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0188

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.5524        | 1.0   | 750   | 2.2315          |
| 2.4839        | 2.0   | 1500  | 2.1932          |
| 2.4654        | 3.0   | 2250  | 2.1637          |
| 2.4001        | 4.0   | 3000  | 2.1352          |
| 2.3966        | 5.0   | 3750  | 2.1122          |
| 2.3537        | 6.0   | 4500  | 2.0921          |
| 2.3427        | 7.0   | 5250  | 2.0746          |
| 2.316         | 8.0   | 6000  | 2.0614          |
| 2.301         | 9.0   | 6750  | 2.0488          |
| 2.2813        | 10.0  | 7500  | 2.0403          |
| 2.2691        | 11.0  | 8250  | 2.0325          |
| 2.2561        | 12.0  | 9000  | 2.0265          |
| 2.258         | 13.0  | 9750  | 2.0217          |
| 2.2447        | 14.0  | 10500 | 2.0199          |
| 2.2432        | 15.0  | 11250 | 2.0188          |


### Framework versions

- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1