Phi-3-mini-4k-instruct-retrained_network_corpus

rnaveensrinivas/Phi-3-mini-4k-instruct-retrained_network_corpus

Phi-3-mini-4k-instruct-retrained_network_corpus is a machine learning model from rnaveensrinivas. 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 9, 2024
Updated: Jul 9, 2024
SHA: d39414ef

Base models

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

Model card

From the Hugging Face model README

Phi-3-mini-4k-instruct-retrained_network_corpus

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: 4.3960

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: 0.0002
train_batch_size: 1
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
1.8696	1.0	112	2.0452
1.3684	2.0	224	2.1041
0.9071	3.0	336	2.3714
0.5282	4.0	448	2.8351
0.2728	5.0	560	3.3396
0.1308	6.0	672	3.7990
0.0594	7.0	784	3.9724
0.032	8.0	896	4.0585
0.0186	9.0	1008	4.3351
0.0133	10.0	1120	4.3960

Framework versions

PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1

Library: peft
License: mit
Created: Jul 9, 2024
Updated: Jul 9, 2024