---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-fr-en
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: spark-name-fr-to-en
  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. -->

# spark-name-fr-to-en

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-fr-en](https://huggingface.co/Helsinki-NLP/opus-mt-fr-en) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8643
- Bleu: 54.7504
- Gen Len: 6.0531

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.9739        | 1.0   | 1600 | 0.9237          | 53.9702 | 5.9769  |
| 0.7636        | 2.0   | 3200 | 0.8784          | 55.6185 | 5.9869  |
| 0.6476        | 3.0   | 4800 | 0.8630          | 55.0472 | 5.9991  |
| 0.5502        | 4.0   | 6400 | 0.8624          | 56.1068 | 6.0022  |
| 0.4932        | 5.0   | 8000 | 0.8643          | 54.7504 | 6.0531  |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1