nllb-akkadian-normalized
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: 3.1974
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 45.2668 | 0.2097 | 250 | 5.0299 |
| 36.4053 | 0.4193 | 500 | 4.2545 |
| 32.7959 | 0.6290 | 750 | 3.8233 |
| 30.1804 | 0.8387 | 1000 | 3.5678 |
| 28.9688 | 1.0478 | 1250 | 3.4610 |
| 28.4473 | 1.2575 | 1500 | 3.3881 |
| 27.7909 | 1.4671 | 1750 | 3.3348 |
| 27.5623 | 1.6768 | 2000 | 3.2948 |
| 27.4065 | 1.8865 | 2250 | 3.2629 |
| 26.8964 | 2.0956 | 2500 | 3.2409 |
| 26.8113 | 2.3053 | 2750 | 3.2217 |
| 26.7997 | 2.5149 | 3000 | 3.2099 |
| 26.8521 | 2.7246 | 3250 | 3.2006 |
| 26.6507 | 2.9343 | 3500 | 3.1974 |
Framework versions
- PEFT 0.18.1
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Downloads last month
- 77
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for NAQarabash/nllb-akkadian-normalized
Base model
facebook/nllb-200-distilled-600M