metadata
license: cc-by-nc-4.0
base_model: nadsoft/Faseeh-v0.1-beta
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: nllb200-ar-en-v2
results: []
nllb200-ar-en-v2
This model is a fine-tuned version of nadsoft/Faseeh-v0.1-beta on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8491
- Bleu: 49.3964
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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0