llama_3_gsm8k_cot_simplest

CharlesLi/llama_3_gsm8k_cot_simplest

llama_3_gsm8k_cot_simplest is a machine learning model from CharlesLi. 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: Jan 1, 2025
Updated: Jan 7, 2025
SHA: cb49edc1

Base models

meta-llama/Llama-3.1-8B-Instruct

Model card

From the Hugging Face model README

llama_3_gsm8k_cot_simplest

This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5915

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
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 2
total_train_batch_size: 16
total_eval_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
training_steps: 30

Training results

Training Loss	Epoch	Step	Validation Loss
0.9274	0.7692	5	0.7078
0.6265	1.5385	10	0.6385
0.5732	2.3077	15	0.6119
0.4985	3.0769	20	0.5948
0.4635	3.8462	25	0.5914
0.455	4.6154	30	0.5915

Framework versions

PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1

Library: peft
Type: llama
License: llama3.1
Created: Jan 1, 2025
Updated: Jan 7, 2025