Bamalingua-11
This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7913
- Bleu: 33.0834
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 500
- num_epochs: 9
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 2.0735 | 1.0 | 1580 | 1.7203 | 13.4475 |
| 1.2602 | 2.0 | 3160 | 1.4606 | 19.4716 |
| 0.7678 | 3.0 | 4740 | 1.4131 | 25.8137 |
| 0.4892 | 4.0 | 6320 | 1.4349 | 29.8337 |
| 0.3242 | 5.0 | 7900 | 1.4621 | 32.3790 |
| 0.2209 | 6.0 | 9480 | 1.4949 | 32.8099 |
| 0.1498 | 7.0 | 11060 | 1.5509 | 32.9551 |
| 0.0964 | 8.0 | 12640 | 1.6539 | 33.0301 |
| 0.0595 | 9.0 | 14220 | 1.7913 | 33.0834 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.4.2
- Tokenizers 0.22.1
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facebook/mbart-large-50-many-to-many-mmt