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llama3.2_3B-urdu-qlora_1
SabahNawab/llama3.2_3B-urdu-qlora_1
llama3.2_3B-urdu-qlora_1 is a machine learning model from SabahNawab. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as llama3.2.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- llama3.2
- Access
- Public
- Created
- Jun 20, 2025
- Updated
- Jun 23, 2025
- SHA
- 3425b5a4
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
llama3.2_3B-urdu-qlora_1
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: 1.7321
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: 3
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 48
- 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 |
|---|---|---|---|
| 1.7861 | 1.0 | 625 | 1.7956 |
| 1.6825 | 2.0 | 1250 | 1.7502 |
| 1.6389 | 3.0 | 1875 | 1.7371 |
| 1.6103 | 4.0 | 2500 | 1.7324 |
| 1.5915 | 5.0 | 3125 | 1.7321 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1
- Library
- peft
- License
- llama3.2
- Created
- Jun 20, 2025
- Updated
- Jun 23, 2025