m2m100_418M_it_formal
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: 0.4792
- Bleu: 33.3519
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 |
---|---|---|---|---|
3.8876 | 0.3676 | 500 | 0.5692 | 29.8373 |
0.5702 | 0.7353 | 1000 | 0.5110 | 31.5694 |
0.5284 | 1.1029 | 1500 | 0.4988 | 32.1943 |
0.4827 | 1.4706 | 2000 | 0.4896 | 32.6095 |
0.4826 | 1.8382 | 2500 | 0.4843 | 32.9797 |
0.4567 | 2.2059 | 3000 | 0.4835 | 33.0851 |
0.4461 | 2.5735 | 3500 | 0.4800 | 33.2566 |
0.4426 | 2.9412 | 4000 | 0.4792 | 33.3519 |
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