llama3.2_3B-urdu-qlora_0
This model is a fine-tuned version of meta-llama/Llama-3.2-3B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7160
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- 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
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7976 | 1.0 | 469 | 1.7886 |
| 1.6975 | 2.0 | 938 | 1.7401 |
| 1.6522 | 3.0 | 1407 | 1.7223 |
| 1.6255 | 4.0 | 1876 | 1.7170 |
| 1.6085 | 4.9899 | 2340 | 1.7160 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1
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Base model
meta-llama/Llama-3.2-3B