phi-3-mini-LoRA-MEDQA-V3

KrithikV/phi-3-mini-LoRA-MEDQA-V3

phi-3-mini-LoRA-MEDQA-V3 is a machine learning model from KrithikV. 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 mit.

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

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Hugging Face

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At a glance

Library: peft
License: mit
Access: Public
Created: Aug 1, 2024
Updated: Aug 1, 2024
SHA: a924ca10

Base models

microsoft/Phi-3-mini-4k-instruct

Model card

From the Hugging Face model README

phi-3-mini-LoRA-MEDQA-V3

This model is a fine-tuned version of microsoft/Phi-3-mini-4k-instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6086

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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.6898	0.3633	100	0.6195
0.6113	0.7266	200	0.6134
0.6095	1.0899	300	0.6110
0.6034	1.4532	400	0.6103
0.6037	1.8165	500	0.6093
0.6043	2.1798	600	0.6089
0.5986	2.5431	700	0.6089
0.5993	2.9064	800	0.6086

Framework versions

PEFT 0.12.0
Transformers 4.43.3
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Library: peft
License: mit
Created: Aug 1, 2024
Updated: Aug 1, 2024