Llama-3.1-8B-Instruct-SFT-600

chchen/Llama-3.1-8B-Instruct-SFT-600

Llama-3.1-8B-Instruct-SFT-600 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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Hugging Face

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At a glance

Library: peft
License: llama3.1
Access: Public
Created: Jan 12, 2025
Updated: Jan 12, 2025
SHA: 92796606

Base models

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

Model card

From the Hugging Face model README

Llama-3.1-8B-Instruct-SFT-600

This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the bct_non_cot_sft_600 dataset. It achieves the following results on the evaluation set:

Loss: 0.0599

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: 5e-06
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.996	1.4815	50	0.7778
0.1326	2.9630	100	0.0880
0.0931	4.4444	150	0.0636
0.0915	5.9259	200	0.0614
0.0888	7.4074	250	0.0600
0.0653	8.8889	300	0.0599

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 12, 2025