---
license: apache-2.0
base_model: DevAibest/opus-mt-finetuned-en-to-fr
tags:
- generated_from_trainer
datasets:
- opus_books
metrics:
- bleu
model-index:
- name: opus-mt-finetuned-en-to-fr
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: opus_books
      type: opus_books
      config: en-fr
      split: train
      args: en-fr
    metrics:
    - name: Bleu
      type: bleu
      value: 58.5586
---

<!-- 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. -->

# opus-mt-finetuned-en-to-fr

This model is a fine-tuned version of [DevAibest/opus-mt-finetuned-en-to-fr](https://huggingface.co/DevAibest/opus-mt-finetuned-en-to-fr) on the opus_books dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4258
- Bleu: 58.5586
- Gen Len: 33.1588

## 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: 8

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.6098        | 1.0   | 6355  | 0.3734          | 62.8908 | 33.1114 |
| 0.5651        | 2.0   | 12710 | 0.3939          | 60.8665 | 33.1092 |
| 0.5251        | 3.0   | 19065 | 0.4077          | 60.0062 | 33.1194 |
| 0.4997        | 4.0   | 25420 | 0.4175          | 59.1619 | 33.0824 |
| 0.4735        | 5.0   | 31775 | 0.4220          | 58.9039 | 33.1849 |
| 0.4474        | 6.0   | 38130 | 0.4255          | 58.6587 | 33.2334 |
| 0.4284        | 7.0   | 44485 | 0.4257          | 58.565  | 33.1984 |
| 0.406         | 8.0   | 50840 | 0.4258          | 58.5586 | 33.1588 |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3