NLLB-Finetuned
This model is a fine-tuned version of facebook/nllb-200-distilled-600M on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.6740
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.9985 | 337 | 4.4579 |
| 5.0844 | 2.0 | 675 | 3.0809 |
| 3.2403 | 2.9956 | 1011 | 2.6740 |
Framework versions
- PEFT 0.11.1
- Transformers 4.44.2
- Pytorch 2.10.0+cu128
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
facebook/nllb-200-distilled-600M