SFTCodePhi-3-mini-4k-instructAPPS

AdnanRiaz107/SFTCodePhi-3-mini-4k-instructAPPS

SFTCodePhi-3-mini-4k-instructAPPS is a machine learning model from AdnanRiaz107. 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. --

Downloads · 30 days

8% of all-time downloads

All-time downloads

Public

Repo size

554 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors50.4 MB · 96%

At a glance

Library: peft
License: mit
Access: Public
Created: May 29, 2024
Updated: May 30, 2024
SHA: 93da93c7

Base models

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

Datasets

apps

Model card

From the Hugging Face model README

SFTCodePhi-3-mini-4k-instructAPPS

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

Loss: 0.6847

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: 5e-05
train_batch_size: 4
eval_batch_size: 4
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: cosine
lr_scheduler_warmup_steps: 100
training_steps: 2000

Training results

Training Loss	Epoch	Step	Validation Loss
0.7559	0.6740	200	0.7106
0.6901	1.3479	400	0.6968
0.6867	2.0219	600	0.6922
0.6677	2.6959	800	0.6885
0.6594	3.3698	1000	0.6857
0.6502	4.0438	1200	0.6855
0.6419	4.7178	1400	0.6854
0.642	5.3917	1600	0.6847
0.6385	6.0657	1800	0.6847
0.6324	6.7397	2000	0.6847

Framework versions

PEFT 0.11.0
Transformers 4.40.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Library: peft
License: mit
Created: May 29, 2024
Updated: May 30, 2024