m2m100_418M_it_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: 0.3171
- Bleu: 45.2089
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 |
---|---|---|---|---|
4.1233 | 0.3663 | 500 | 0.4201 | 35.4888 |
0.3905 | 0.7326 | 1000 | 0.3485 | 40.6806 |
0.3507 | 1.0989 | 1500 | 0.3352 | 42.5255 |
0.3211 | 1.4652 | 2000 | 0.3289 | 43.5631 |
0.3107 | 1.8315 | 2500 | 0.3235 | 44.3379 |
0.2941 | 2.1978 | 3000 | 0.3211 | 44.7250 |
0.2802 | 2.5641 | 3500 | 0.3187 | 44.9884 |
0.2815 | 2.9304 | 4000 | 0.3171 | 45.2089 |
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