Terry-ft

HCHSmost/Terry-ft

Terry-ft is a machine learning model from HCHSmost. 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: Jun 14, 2024
Updated: Jul 21, 2024
SHA: 82767281

Base models

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

Model card

From the Hugging Face model README

Terry-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: 0.7287

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
2.5921	0.8696	5	2.0205
1.5501	1.9130	11	1.4288
1.1411	2.9565	17	1.0682
0.8805	4.0	23	0.8740
0.8972	4.8696	28	0.8145
0.7032	5.9130	34	0.7677
0.6435	6.9565	40	0.7422
0.6246	8.0	46	0.7309
0.6399	8.6957	50	0.7287

Framework versions

PEFT 0.11.1
Transformers 4.42.4
Pytorch 2.1.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Library: peft
License: apache-2.0
Created: Jun 14, 2024
Updated: Jul 21, 2024