metadata
base_model: facebook/mbart-large-50-many-to-many-mmt
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mbart-large-50-many-to-many-mmt-finetuned-pt-to-en-arabic-hindi
results: []
mbart-large-50-many-to-many-mmt-finetuned-pt-to-en-arabic-hindi
This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.8373
- Bleu: 5.0308
- Gen Len: 52.3902
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: 0.0002
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 77 | 2.9700 | 1.8614 | 49.3137 |
| No log | 2.0 | 154 | 2.8490 | 2.477 | 49.817 |
| No log | 3.0 | 231 | 2.9014 | 2.9323 | 51.0426 |
| No log | 4.0 | 308 | 3.0640 | 3.7026 | 62.0698 |
| No log | 5.0 | 385 | 3.2683 | 3.9123 | 49.7686 |
| No log | 6.0 | 462 | 3.4488 | 4.2838 | 52.1925 |
| 1.7841 | 7.0 | 539 | 3.5876 | 4.6755 | 53.1631 |
| 1.7841 | 8.0 | 616 | 3.7173 | 4.4499 | 48.1984 |
| 1.7841 | 9.0 | 693 | 3.7868 | 4.8237 | 51.9214 |
| 1.7841 | 10.0 | 770 | 3.8373 | 5.0308 | 52.3902 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1