DATASET02-fine-tuned

HONGBANJANG1/DATASET02-fine-tuned

DATASET02-fine-tuned is a machine learning model from HONGBANJANG1. 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 other.

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

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At a glance

Library: peft
License: other
Access: Public
Created: Mar 8, 2025
Updated: Mar 9, 2025
SHA: 28eaa3e2

Base models

LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct

Model card

From the Hugging Face model README

DATASET02-fine-tuned

This model is a fine-tuned version of LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.9451

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: 0.0005
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	9	1.1077
No log	2.0	18	0.9729
No log	2.7033	24	0.9451

Framework versions

PEFT 0.14.0
Transformers 4.50.0.dev0
Pytorch 2.5.1+cu121
Datasets 3.3.2
Tokenizers 0.21.0

Library: peft
License: other
Created: Mar 8, 2025
Updated: Mar 9, 2025