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urdu-htr-gemma3-4b-lora – AI Model by sikandermukhtar | AlphaNeural AI
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sikandermukhtar
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urdu-htr-gemma3-4b-lora
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peft
safetensors
llama-factory
lora
generated_from_trainer
google/gemma-3-4b-it
adapter
other
us
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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
