finetuned

msahabudinov/finetuned

finetuned is a machine learning model from msahabudinov. 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 · 98%

At a glance

Library: peft
License: mit
Access: Public
Created: Sep 29, 2024
Updated: Sep 29, 2024
SHA: 2c529fce

Base models

microsoft/Phi-3.5-mini-instruct

Model card

From the Hugging Face model README

finetuned

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: 0.2803

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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.5282	0.3410	100	0.4418
0.3992	0.6820	200	0.3800
0.3324	1.0230	300	0.3341
0.3127	1.3640	400	0.3147
0.2591	1.7050	500	0.2895
0.2621	2.0460	600	0.2926
0.2195	2.3870	700	0.2826
0.2225	2.7280	800	0.2803

Framework versions

PEFT 0.13.0
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1

Library: peft
License: mit
Created: Sep 29, 2024
Updated: Sep 29, 2024