shawgpt-ft

jmckim/shawgpt-ft

shawgpt-ft is a machine learning model from jmckim. 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: Jul 18, 2024
Updated: Jul 20, 2024
SHA: eb8053cf

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 an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.7136

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
4.5915	0.9231	3	3.9618
4.0375	1.8462	6	3.4280
3.4469	2.7692	9	2.9554
2.2305	4.0	13	2.5146
2.6159	4.9231	16	2.2586
2.2974	5.8462	19	2.0662
2.0522	6.7692	22	1.8959
1.4221	8.0	26	1.7639
1.797	8.9231	29	1.7189
1.2519	9.2308	30	1.7136

Framework versions

PEFT 0.11.1
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Library: peft
License: apache-2.0
Created: Jul 18, 2024
Updated: Jul 20, 2024