CodePhi-3-mini-128k-instruct-appsloraN1k1616

AdnanRiaz107/CodePhi-3-mini-128k-instruct-appsloraN1k1616

CodePhi-3-mini-128k-instruct-appsloraN1k1616 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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At a glance

Library: peft
License: mit
Access: Public
Created: Aug 8, 2024
Updated: Aug 8, 2024
SHA: 725cc6fa

Base models

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

Model card

From the Hugging Face model README

CodePhi-3-mini-128k-instruct-appsloraN1k1616

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: 0.6734

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-06
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
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: 1000

Training results

Training Loss	Epoch	Step	Validation Loss
0.6272	0.1	100	0.7392
0.6832	0.2	200	0.7067
0.6705	0.3	300	0.6939
0.6134	0.4	400	0.6866
0.6366	0.5	500	0.6811
0.6209	0.6	600	0.6775
0.623	0.7	700	0.6747
0.5824	0.8	800	0.6739
0.5981	0.9	900	0.6736
0.5555	1.0	1000	0.6734

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 8, 2024
Updated: Aug 8, 2024