m2m100_418M_fr_informal
This model is a fine-tuned version of facebook/m2m100_418M on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2971
- Bleu: 30.8965
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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.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: 500
- num_epochs: 3.0
Training results
Training Loss | Epoch | Step | Validation Loss | Bleu |
---|---|---|---|---|
4.2415 | 0.3554 | 500 | 0.3684 | 27.0259 |
0.3566 | 0.7107 | 1000 | 0.3164 | 28.8547 |
0.3309 | 1.0661 | 1500 | 0.3082 | 29.6687 |
0.3039 | 1.4215 | 2000 | 0.3049 | 29.8944 |
0.2966 | 1.7768 | 2500 | 0.3009 | 30.2278 |
0.2918 | 2.1322 | 3000 | 0.2994 | 30.5321 |
0.2741 | 2.4876 | 3500 | 0.2979 | 30.6031 |
0.2749 | 2.8429 | 4000 | 0.2971 | 30.8965 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
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facebook/m2m100_418M