albert-base-chinese-finetuned-qqp

r10521708/albert-base-chinese-finetuned-qqp

albert-base-chinese-finetuned-qqp is a text classification model from r10521708. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as gpl-3.0.

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

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At a glance

Task: Text Classification
Library: transformers
License: gpl-3.0
Model type: albert
Access: Public
Created: Mar 3, 2023
Updated: Mar 3, 2023
SHA: fc0a7b6c

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Model card

From the Hugging Face model README

albert-base-chinese-finetuned-qqp

This model is a fine-tuned version of ckiplab/albert-base-chinese on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0982
Accuracy: 0.9804
F1: 0.0

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
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
No log	1.0	114	0.0982	0.9804
No log	2.0	228	0.0931	0.9804
No log	3.0	342	0.0680	0.9804
No log	4.0	456	0.0526	0.9804
0.1031	5.0	570	0.0578	0.9804

Framework versions

Transformers 4.26.1
Pytorch 1.13.1
Datasets 2.9.0
Tokenizers 0.13.0.dev0

Task: Text Classification
Library: transformers
Type: albert
License: gpl-3.0
Created: Mar 3, 2023
Updated: Mar 3, 2023