| --- |
| library_name: transformers |
| language: |
| - fr |
| - wo |
| license: mit |
| base_model: facebook/m2m100_418M |
| tags: |
| - generated_from_trainer |
| metrics: |
| - bleu |
| model-index: |
| - name: moore_MT |
| 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. --> |
|
|
| # moore_MT |
| |
| This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.4899 |
| - Bleu: 8.0512 |
| - Gen Len: 58.6 |
| |
| ## 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: 3e-05 |
| - train_batch_size: 6 |
| - eval_batch_size: 6 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 12 |
| - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 2500 |
| - num_epochs: 24.0 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
| |:-------------:|:-------:|:----:|:---------------:|:------:|:-------:| |
| | 1.3635 | 14.9925 | 5000 | 2.4899 | 7.7564 | 59.1124 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.46.0 |
| - Pytorch 2.7.0+cu126 |
| - Datasets 3.3.2 |
| - Tokenizers 0.20.3 |
| |
