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
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