---
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: 69.4791
---

<!-- 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: 0.2610
- Bleu: 69.4791
- Gen Len: 32.7639

## 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.4587        | 1.0   | 6355  | 0.2063          | 76.6735 | 32.6691 |
| 0.426         | 2.0   | 12710 | 0.2238          | 74.291  | 32.7606 |
| 0.3935        | 3.0   | 19065 | 0.2385          | 72.4894 | 32.8613 |
| 0.3723        | 4.0   | 25420 | 0.2480          | 71.2701 | 32.635  |
| 0.3492        | 5.0   | 31775 | 0.2532          | 70.6417 | 32.7086 |
| 0.3315        | 6.0   | 38130 | 0.2588          | 69.8185 | 32.7439 |
| 0.3057        | 7.0   | 44485 | 0.2598          | 69.7941 | 32.7479 |
| 0.2906        | 8.0   | 50840 | 0.2621          | 69.5144 | 32.7624 |
| 0.283         | 9.0   | 57195 | 0.2619          | 69.27   | 32.7373 |
| 0.2675        | 10.0  | 63550 | 0.2610          | 69.4791 | 32.7639 |


### Framework versions

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