---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- ccmatrix
metrics:
- bleu
model-index:
- name: t5-small-finetuned-en-to-it
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: ccmatrix
      type: ccmatrix
      config: en-it
      split: train[3000:15000]
      args: en-it
    metrics:
    - name: Bleu
      type: bleu
      value: 7.7504
---

<!-- 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: 2.2736
- Bleu: 7.7504
- Gen Len: 60.0173

## 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 | Bleu   | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 3.4319        | 1.0   | 750   | 2.8398          | 2.2549 | 92.1093 |
| 3.0931        | 2.0   | 1500  | 2.7018          | 3.061  | 87.6667 |
| 3.0119        | 3.0   | 2250  | 2.6072          | 3.8085 | 79.9573 |
| 2.8924        | 4.0   | 3000  | 2.5345          | 4.4824 | 73.2513 |
| 2.8415        | 5.0   | 3750  | 2.4761          | 5.0326 | 70.2667 |
| 2.7656        | 6.0   | 4500  | 2.4320          | 5.4965 | 67.55   |
| 2.7305        | 7.0   | 5250  | 2.3915          | 6.1202 | 65.9733 |
| 2.6847        | 8.0   | 6000  | 2.3605          | 6.4886 | 64.696  |
| 2.656         | 9.0   | 6750  | 2.3352          | 6.7504 | 62.7593 |
| 2.6252        | 10.0  | 7500  | 2.3161          | 7.1305 | 61.516  |
| 2.6101        | 11.0  | 8250  | 2.3001          | 7.2954 | 61.1827 |
| 2.5974        | 12.0  | 9000  | 2.2882          | 7.516  | 60.974  |
| 2.5815        | 13.0  | 9750  | 2.2798          | 7.6634 | 60.4747 |
| 2.5665        | 14.0  | 10500 | 2.2750          | 7.6801 | 60.3567 |
| 2.5688        | 15.0  | 11250 | 2.2736          | 7.7504 | 60.0173 |


### Framework versions

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