new_classifer_epoch10

wenkai-li/new_classifer_epoch10

new_classifer_epoch10 is a text classification model from wenkai-li. Use it when you need a label for a piece of text. It is set up for transformers. 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

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Sep 22, 2022
Updated: Sep 22, 2022
SHA: 98bb8e93

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Model card

From the Hugging Face model README

new_classifer_epoch10

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0837
Accuracy: 0.9867

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0524	1.0	4248	0.0628	0.9790
0.0251	2.0	8496	0.0496	0.9848
0.0153	3.0	12744	0.0857	0.9837
0.0049	4.0	16992	0.1030	0.9849
0.0038	5.0	21240	0.0837	0.9867
0.003	6.0	25488	0.1165	0.9856
0.0026	7.0	29736	0.1143	0.9853
0.0004	8.0	33984	0.1475	0.9856
0.0004	9.0	38232	0.1328	0.9861
0.0	10.0	42480	0.1349	0.9862

Framework versions

Transformers 4.22.1
Pytorch 1.12.1+cu113
Datasets 2.5.1
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Sep 22, 2022
Updated: Sep 22, 2022