phi-3-mini-LoRA

dohyung97022/phi-3-mini-LoRA

phi-3-mini-LoRA is a machine learning model from dohyung97022. 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: Jul 15, 2024
Updated: Jul 15, 2024
SHA: 51736925

Base models

microsoft/Phi-3-mini-128k-instruct

Model card

From the Hugging Face model README

phi-3-mini-LoRA

This model is a fine-tuned version of microsoft/Phi-3-mini-128k-instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.9261

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

Training results

Training Loss	Epoch	Step	Validation Loss
1.0422	0.6024	100	0.9495
0.8992	1.2048	200	0.9344
0.8815	1.8072	300	0.9300
0.8884	2.4096	400	0.9286
0.8645	3.0120	500	0.9257
0.8637	3.6145	600	0.9261

Framework versions

PEFT 0.11.1
Transformers 4.42.4
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Library: peft
License: mit
Created: Jul 15, 2024
Updated: Jul 15, 2024