phi3.5-hugcoder

AdnanRiaz107/phi3.5-hugcoder

phi3.5-hugcoder 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. --

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Hugging Face

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.safetensors101 MB · 100%

At a glance

Library: peft
License: mit
Access: Public
Created: Aug 31, 2025
Updated: Aug 31, 2025
SHA: ea8a6208

Base models

microsoft/Phi-3.5-mini-instruct

Model card

From the Hugging Face model README

phi3.5-hugcoder

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: 0.6832

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: 0.0003
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_ratio: 0.1
training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.1	10	0.5937
No log	0.2	20	0.4756
No log	0.3	30	0.4394
No log	0.4	40	0.4419
0.5311	0.5	50	0.4827
0.5311	0.6	60	0.5897
0.5311	0.7	70	0.5495
0.5311	0.8	80	0.6268
0.5311	0.9	90	0.6744
0.1769	1.0	100	0.6832

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: Aug 31, 2025
Updated: Aug 31, 2025