---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-fr-de
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-fr-de-new-finetuned-fr-to-wol
  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. -->

# opus-mt-fr-de-new-finetuned-fr-to-wol

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-fr-de](https://huggingface.co/Helsinki-NLP/opus-mt-fr-de) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4897
- Bleu: 5.5073
- Gen Len: 61.5873

## 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: 0.0003
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len  |
|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
| No log        | 1.0   | 91   | 3.0424          | 0.4073 | 288.4603 |
| No log        | 2.0   | 182  | 2.6751          | 0.9893 | 166.5666 |
| No log        | 3.0   | 273  | 2.4795          | 3.1938 | 80.8081  |
| No log        | 4.0   | 364  | 2.3826          | 4.1209 | 73.1684  |
| No log        | 5.0   | 455  | 2.3629          | 4.858  | 63.6266  |
| 2.5384        | 6.0   | 546  | 2.3635          | 5.1207 | 66.588   |
| 2.5384        | 7.0   | 637  | 2.3929          | 5.3246 | 61.1974  |
| 2.5384        | 8.0   | 728  | 2.4382          | 5.5606 | 63.0014  |
| 2.5384        | 9.0   | 819  | 2.4625          | 5.3472 | 62.4086  |
| 2.5384        | 10.0  | 910  | 2.4897          | 5.5073 | 61.5873  |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2