---
license: apache-2.0
base_model: DevAibest/opus-mt-en-fr-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: 31.0896
---

<!-- 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-en-fr-finetuned-en-to-fr](https://huggingface.co/DevAibest/opus-mt-en-fr-finetuned-en-to-fr) on the opus_books dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4114
- Bleu: 31.0896
- Gen Len: 33.5809

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.6129        | 1.0   | 6355  | 1.5278          | 27.2208 | 33.9963 |
| 1.5075        | 2.0   | 12710 | 1.4722          | 28.9457 | 33.6748 |
| 1.3883        | 3.0   | 19065 | 1.4439          | 30.2608 | 33.721  |
| 1.3201        | 4.0   | 25420 | 1.4266          | 30.5004 | 33.7008 |
| 1.2657        | 5.0   | 31775 | 1.4195          | 30.7612 | 33.6436 |
| 1.2481        | 6.0   | 38130 | 1.4152          | 30.9278 | 33.5786 |
| 1.1922        | 7.0   | 44485 | 1.4113          | 31.0464 | 33.641  |
| 1.1774        | 8.0   | 50840 | 1.4114          | 31.0896 | 33.5809 |


### Framework versions

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