mbart-large-50-many-to-many-mmt-finetuned-ar_AR-to-en_XX-finetuned-ar_AR-to-en_XX
This model is a fine-tuned version of Shamus/mbart-large-50-many-to-many-mmt-finetuned-ar_AR-to-en_XX on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1972
- Bleu: 30.3169
- Gen Len: 34.536
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.122 | 1.0 | 2759 | 1.1972 | 30.3169 | 34.536 |
Framework versions
- Transformers 4.21.2
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1