my_awesome_mujam_model
This model is a fine-tuned version of Helsinki-NLP/opus-mt-tc-big-ar-en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5079
- Bleu: 27.6205
- Gen Len: 218.2162
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: 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
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 28 | 2.6334 | 24.0298 | 214.2252 |
| No log | 2.0 | 56 | 2.5079 | 27.6205 | 218.2162 |
Framework versions
- Transformers 4.53.1
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.2
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Model tree for cognitohazard/my_awesome_mujam_model
Base model
Helsinki-NLP/opus-mt-tc-big-ar-en