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Mistral-8x7b-Medical-Finetune_QA_MCQ

This model is a fine-tuned version of mistralai/Mixtral-8x7B-Instruct-v0.1 on the None dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.9575
  • eval_runtime: 539.2458
  • eval_samples_per_second: 9.009
  • eval_steps_per_second: 0.282
  • epoch: 4.13
  • step: 62000

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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 1
  • num_epochs: 5

Framework versions

  • PEFT 0.9.0
  • Transformers 4.38.1
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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