Phi-3.5-mini-instruct-qlora

psvishnu/Phi-3.5-mini-instruct-qlora

Phi-3.5-mini-instruct-qlora is a machine learning model from psvishnu. 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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Repo size

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Hugging Face

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.safetensors101 MB · 96%

At a glance

Library: peft
License: mit
Access: Public
Created: Oct 25, 2024
Updated: Oct 27, 2024
SHA: 5cf73f20

Base models

microsoft/Phi-3.5-mini-instruct

Model card

From the Hugging Face model README

Phi-3.5-mini-instruct-qlora

This model is a fine-tuned version of microsoft/Phi-3.5-mini-instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.8242

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: 4
eval_batch_size: 4
seed: 0
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.01
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
1.6254	0.3333	10	1.2928
1.0852	0.6667	20	0.9771
0.8786	1.0	30	0.8939
0.7889	1.3333	40	0.8575
0.7281	1.6667	50	0.8336
0.6876	2.0	60	0.8175
0.6217	2.3333	70	0.8238
0.6066	2.6667	80	0.8274
0.614	3.0	90	0.8193
0.5568	3.3333	100	0.8235
0.5435	3.6667	110	0.8242
0.5699	4.0	120	0.8242

Framework versions

PEFT 0.13.2
Transformers 4.46.0
Pytorch 2.4.0
Datasets 3.0.2
Tokenizers 0.20.0

Library: peft
License: mit
Created: Oct 25, 2024
Updated: Oct 27, 2024