Qwen3-8B_15120631

licezhang/Qwen3-8B_15120631

Qwen3-8B_15120631 is a machine learning model from licezhang. 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 apache-2.0.

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: apache-2.0
Access: Public
Created: Apr 3, 2026
Updated: Apr 3, 2026
SHA: 246fa568

Base models

Qwen/Qwen3-8B

Model card

From the Hugging Face model README

Qwen3-8B_15120631

This model is a fine-tuned version of Qwen/Qwen3-8B on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6211
Accuracy: 0.6598

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: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6657	0.1000	536	0.6852	0.5956
0.6669	0.2001	1072	0.6403	0.6416
0.6353	0.3001	1608	0.6329	0.6465
0.6185	0.4001	2144	0.6260	0.6551
0.6324	0.5002	2680	0.6272	0.6543
0.6265	0.6002	3216	0.6239	0.6515
0.5898	0.7003	3752	0.6249	0.6569
0.6083	0.8003	4288	0.6217	0.6599
0.6133	0.9003	4824	0.6211	0.6598

Framework versions

PEFT 0.18.0
Transformers 4.57.3
Pytorch 2.9.1+cu128
Datasets 4.4.2
Tokenizers 0.22.1

Library: peft
License: apache-2.0
Created: Apr 3, 2026
Updated: Apr 3, 2026