README.md

metadata

license: apache-2.0
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: mistralai/Mixtral-8x7B-Instruct-v0.1
model-index:
  - name: Mistral-8x7b-Medical-Finetune_QA_MCQ
    results: []

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