Llama3-Medical-Finetune_QA_MCQ

This model is a fine-tuned version of unsloth/llama-3-8b-bnb-4bit on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.0295

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: 1e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 2
• gradient_accumulation_steps: 16
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 5
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
1.0399	0.5324	2000	1.0353
1.0358	1.0647	4000	1.0314
1.0278	1.5971	6000	1.0295

Framework versions

• PEFT 0.10.0
• Transformers 4.40.0
• Pytorch 2.2.1+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1