mistral-7b-medwiki-v1

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the medical_meadow_wikidoc dataset.

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0005
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• num_epochs: 1.0

Framework versions

• PEFT 0.8.2
• Transformers 4.37.2
• Pytorch 2.1.1+cu121
• Datasets 2.16.1
• Tokenizers 0.15.1

Perfromance

hf (pretrained=mistralai/Mistral-7B-v0.1,parallelize=True,load_in_4bit=True,peft=chenhugging/mistral-7b-medwiki-v1), gen_kwargs: (None), limit: 100.0, num_fewshot: None

Tasks	Version	Filter	n-shot	Metric	Value		Stderr
pubmedqa	1	none	0	acc	0.99	±	0.0100
professional_medicine	0	none	0	acc	0.57	±	0.0498
college_medicine	0	none	0	acc	0.59	±	0.0494
clinical_knowledge	0	none	0	acc	0.58	±	0.0496
medmcqa	Yaml	none	0	acc	0.40	±	0.0492
ocn	Yaml	none	0	acc	0.61	±	0.0490
aocnp	Yaml	none	0	acc	0.52	±	0.0502

Original Performance

hf (pretrained=mistralai/Mistral-7B-v0.1,parallelize=True,load_in_4bit=True), gen_kwargs: (None), limit: 100.0, num_fewshot: None, batch_size: 1

Tasks	Version	Filter	n-shot	Metric	Value		Stderr
pubmedqa	1	none	0	acc	0.98	±	0.0141
professional_medicine	0	none	0	acc	0.64	±	0.0482
college_medicine	0	none	0	acc	0.65	±	0.0479
clinical_knowledge	0	none	0	acc	0.68	±	0.0469
medmcqa	Yaml	none	0	acc	0.45	±	0.0500
ocn	Yaml	none	0	acc	0.62	±	0.0488
aocnp	Yaml	none	0	acc	0.47	±	0.0502