Fatma5000/llama_arabic_medical

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llamaarabicmedical

This model is a fine-tuned version of unsloth/llama-3.1-8b-instruct-unsloth-bnb-4bit on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 1.3269

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
• —trainbatchsize: 8
• —evalbatchsize: 2
• —seed: 3407
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 32
• —optimizer: Use OptimizerNames.ADAMW8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 10
• —num_epochs: 1
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —PEFT 0.17.1
• —Transformers 4.57.1
• —Pytorch 2.8.0+cu126
• —Datasets 4.3.0
• —Tokenizers 0.22.1