Finetune-test3

AmaanUsmani/Finetune-test3

Finetune-test3 is a machine learning model from AmaanUsmani. 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 apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: May 1, 2024
Updated: May 2, 2024
SHA: b0d4621f

Base models

TheBloke/Mistral-7B-Instruct-v0.2-GPTQ

Model card

From the Hugging Face model README

Finetune-test3

This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6143

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: 0.0002
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: linear
lr_scheduler_warmup_steps: 2
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.1515	0.9956	56	0.7617
0.7099	1.9911	112	0.6591
0.6427	2.9867	168	0.6336
0.5897	4.0	225	0.6145
0.5634	4.9956	281	0.6038
0.5328	5.9911	337	0.6003
0.5084	6.9867	393	0.6019
0.4793	8.0	450	0.6030
0.4718	8.9956	506	0.6088
0.4559	9.9556	560	0.6143

Framework versions

PEFT 0.10.0
Transformers 4.40.1
Pytorch 2.0.1+cu118
Datasets 2.19.0
Tokenizers 0.19.1

Library: peft
License: apache-2.0
Created: May 1, 2024
Updated: May 2, 2024