Llama-3.1-8B-Instruct-SFT-1000

chchen/Llama-3.1-8B-Instruct-SFT-1000

Llama-3.1-8B-Instruct-SFT-1000 is a machine learning model from chchen. 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
Access: Public
Created: Jan 12, 2025
Updated: Jan 21, 2025
SHA: ce03f325

Base models

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

Model card

From the Hugging Face model README

Llama-3.1-8B-Instruct-sft-1000

This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the bct_non_cot_sft_1000 dataset. It achieves the following results on the evaluation set:

Loss: 0.0757

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: 0.0001
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.074	1.7778	50	0.0757
0.0309	3.5556	100	0.0856
0.012	5.3333	150	0.1149
0.0034	7.1111	200	0.1489
0.0024	8.8889	250	0.1494

Framework versions

PEFT 0.12.0
Transformers 4.45.2
Pytorch 2.3.0
Datasets 2.19.0
Tokenizers 0.20.0

Library: peft
License: llama3.1
Created: Jan 12, 2025
Updated: Jan 21, 2025