QWEN_less_data_SUDT

rishavranaut/QWEN_less_data_SUDT

QWEN_less_data_SUDT is a machine learning model from rishavranaut. 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. --

Downloads · 30 days

15% of all-time downloads

All-time downloads

Public

Repo size

202 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors40.4 MB · 78%

At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Oct 26, 2024
Updated: Oct 26, 2024
SHA: fa5d0672

Base models

Qwen/Qwen2-7B

Model card

From the Hugging Face model README

QWEN_less_data_SUDT

This model is a fine-tuned version of Qwen/Qwen2-7B on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.8036
Accuracy: 0.75
Precision: 0.7517
Recall: 0.7467
F1 score: 0.7492

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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1 score
0.9827	1.0	200	0.9324	0.6567	0.6374	0.7267	0.6791
0.6131	2.0	400	0.9107	0.7	0.7586	0.5867	0.6617
0.4309	3.0	600	0.7894	0.7133	0.7222	0.6933	0.7075
0.2912	4.0	800	0.8766	0.7233	0.7965	0.6	0.6844
0.1993	5.0	1000	0.8036	0.75	0.7517	0.7467	0.7492

Framework versions

PEFT 0.11.1
Transformers 4.44.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Library: peft
License: apache-2.0
Created: Oct 26, 2024
Updated: Oct 26, 2024