metadata
library_name: transformers
license: cc-by-nc-4.0
base_model: facebook/nllb-200-distilled-600M
tags:
- generated_from_trainer
model-index:
- name: nllb-AR-ENG
results: []
nllb-AR-ENG
This model is a fine-tuned version of facebook/nllb-200-distilled-600M on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1617
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3419 | 1.0 | 140 | 0.1517 |
| 0.2764 | 2.0 | 280 | 0.1530 |
| 0.1581 | 3.0 | 420 | 0.1525 |
| 0.1232 | 4.0 | 560 | 0.1564 |
| 0.0914 | 5.0 | 700 | 0.1594 |
| 0.072 | 6.0 | 840 | 0.1612 |
| 0.0704 | 7.0 | 980 | 0.1617 |
| 0.0638 | 7.1436 | 1000 | 0.1617 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0