urdu-htr-gemma-3-4b
This model is a fine-tuned version of google/gemma-3-4b-it on the urdu_htr_train dataset. It achieves the following results on the evaluation set:
- Loss: 1.3550
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: 0.0002
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- total_eval_batch_size: 2
- 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: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0327 | 5.0 | 50 | 1.3550 |
Framework versions
- PEFT 0.15.2
- Transformers 4.57.1
- Pytorch 2.10.0+cu128
- Datasets 3.5.0
- Tokenizers 0.22.2
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