pytorch tensorboard mt5 text2text-generation transformers generated_from_trainer license:cc-by-nc-sa-4.0 model-index autotrain_compatible
---
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: finetuned_translation_fa_en
  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. -->

# finetuned_translation_fa_en

This model is a fine-tuned version of [persiannlp/mt5-small-parsinlu-opus-translation_fa_en](https://huggingface.co/persiannlp/mt5-small-parsinlu-opus-translation_fa_en) on the TEP (https://opus.nlpl.eu/TEP.php) dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4370
- Bleu: 24.2331
- Gen Len: 11.6467

## 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: 1

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.6184        | 1.0   | 30987 | 1.4370          | 24.2331 | 11.6467 |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
