shawgpt-ft

jaki-1/shawgpt-ft

shawgpt-ft is a machine learning model from jaki-1. 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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Hugging Face

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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: May 3, 2024
Updated: Jul 12, 2024
SHA: e3bc4fce

Base models

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

Model card

From the Hugging Face model README

shawgpt-ft

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: 0.7806

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
1.1706	0.9919	92	1.0061
0.9987	1.9946	185	0.9524
0.9563	2.9973	278	0.9146
0.9325	3.9919	368	0.8862
0.9031	4.9919	460	0.8586
0.8689	5.9946	553	0.8344
0.8449	6.9973	646	0.8135
0.8345	7.9919	736	0.7974
0.8167	8.9919	828	0.7855
0.7919	9.9838	920	0.7806

Framework versions

PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.1.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Library: peft
License: apache-2.0
Created: May 3, 2024
Updated: Jul 12, 2024