phi-3-final-finetuned

Hmehdi515/phi-3-final-finetuned

phi-3-final-finetuned is a machine learning model from Hmehdi515. 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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.safetensors285 MB · 100%

At a glance

Library: peft
License: mit
Access: Public
Created: Aug 8, 2024
Updated: Aug 8, 2024
SHA: efe375cf

Base models

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

Model card

From the Hugging Face model README

phi-3-final-finetuned

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: 1.0506

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: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.9735	0.9997	1883	0.9807
0.8765	2.0	3767	0.9583
0.8116	2.9997	5650	0.9652
0.7293	4.0	7534	1.0011
0.6429	4.9987	9415	1.0506

Framework versions

PEFT 0.12.0
Transformers 4.43.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Library: peft
License: mit
Created: Aug 8, 2024
Updated: Aug 8, 2024