---
license: apache-2.0
tags:
- generated_from_trainer
base_model: Helsinki-NLP/opus-mt-fr-en
model-index:
- name: opus-mt-fr-yat
  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-yat

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-fr-en](https://huggingface.co/Helsinki-NLP/opus-mt-fr-en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 6.7630
- Bert score: 0.6005

## 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: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bert score |
|:-------------:|:-----:|:----:|:---------------:|:----------:|
| No log        | 1.0   | 62   | 7.7730          | 0.5980     |
| No log        | 2.0   | 124  | 6.9707          | 0.5976     |
| No log        | 3.0   | 186  | 6.7630          | 0.6005     |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1