Qwen2.5-7B-ThuTucHanhChinh-MultiGPU-V2

Frank0110/Qwen2.5-7B-ThuTucHanhChinh-MultiGPU-V2

Qwen2.5-7B-ThuTucHanhChinh-MultiGPU-V2 is a machine learning model from Frank0110. 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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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Dec 23, 2025
Updated: Dec 23, 2025
SHA: bf45b5da

Base models

Qwen/Qwen2.5-7B-Instruct

Model card

From the Hugging Face model README

Qwen2.5-7B-ThuTucHanhChinh-MultiGPU-V2

This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4829

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-05
train_batch_size: 2
eval_batch_size: 1
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: linear
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.4927	0.2406	100	0.5076
0.4589	0.4812	200	0.4974
0.5207	0.7218	300	0.4885
0.4751	0.9624	400	0.4829

Framework versions

PEFT 0.11.1
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 4.4.1
Tokenizers 0.19.1

Library: peft
License: apache-2.0
Created: Dec 23, 2025
Updated: Dec 23, 2025