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llama3.2_3B-urdu-qlora_0 – AI Model by SabahNawab | AlphaNeural AI
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SabahNawab
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llama3.2_3B-urdu-qlora_0
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peft
tensorboard
safetensors
generated_from_trainer
meta-llama/Llama-3.2-3B
adapter
llama3.2
us
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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
