hansken_human_hql_v3

hansh/hansken_human_hql_v3

hansken_human_hql_v3 is a machine learning model from hansh. 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 llama3.1.

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

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At a glance

Library: peft
License: llama3.1
Model type: llama
Access: Public
Created: Sep 19, 2024
Updated: Sep 20, 2024
SHA: 7c3e09ef

Base models

Datasets

hansh/hansken_hql_cot

Model card

From the Hugging Face model README

hansken_human_hql_v3

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on the hansh/hansken_hql_cot dataset. It achieves the following results on the evaluation set:

Loss: 0.5017

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: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss
0.6267	1.0	469	0.6078
0.5094	2.0	938	0.5335
0.513	3.0	1407	0.5142
0.4306	4.0	1876	0.5044
0.4128	5.0	2345	0.5017
0.3924	6.0	2814	0.5093
0.3684	7.0	3283	0.5168
0.3403	8.0	3752	0.5338
0.311	9.0	4221	0.5566
0.2853	10.0	4690	0.5920

Framework versions

PEFT 0.12.0
Transformers 4.43.1
Pytorch 2.1.2+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Library: peft
Type: llama
License: llama3.1
Created: Sep 19, 2024
Updated: Sep 20, 2024