Mistral-7B-Medical-Finetune_QA

TachyHealthResearch/Mistral-7B-Medical-Finetune_QA

Mistral-7B-Medical-Finetune_QA is a machine learning model from TachyHealthResearch. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Mar 11, 2024
Updated: Mar 14, 2024
SHA: fd7903ce

Base models

mistralai/Mistral-7B-Instruct-v0.1

Model card

From the Hugging Face model README

Mistral-7B-Medical-Finetune_QA

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6753

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: 0.00025
train_batch_size: 8
eval_batch_size: 8
seed: 42
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: 1
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.8304	0.15	300	0.7822
0.7735	0.29	600	0.7528
0.7522	0.44	900	0.7275
0.7234	0.59	1200	0.7043
0.7048	0.74	1500	0.6850
0.6894	0.88	1800	0.6753

Framework versions

PEFT 0.9.0
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Library: peft
License: apache-2.0
Created: Mar 11, 2024
Updated: Mar 14, 2024