M2M_Legal_en-ga_fixed
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: 0.1662
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: 7182
- optimizer: Use adafactor and the args are: No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2465 | 1.0 | 29921 | 0.2115 |
| 0.1943 | 2.0 | 59842 | 0.1774 |
| 0.1669 | 3.0 | 89763 | 0.1662 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.4.0
- Datasets 2.19.1
- Tokenizers 0.21.0
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Base model
facebook/m2m100_418M