metadata
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-fr-en
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: french-wolof-marian-fr-to-wo
results: []
french-wolof-marian-fr-to-wo
This model is a fine-tuned version of Helsinki-NLP/opus-mt-fr-en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4610
- Bleu: 0.0157
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: 3
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Bleu |
---|---|---|---|---|
No log | 1.0 | 454 | 1.5968 | 0.0050 |
1.9266 | 2.0 | 908 | 1.4846 | 0.0144 |
1.5498 | 3.0 | 1362 | 1.4572 | 0.0161 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1