bert_base_cased_MultiClass_v2

Ojeda01/bert_base_cased_MultiClass_v2

bert_base_cased_MultiClass_v2 is a text classification model from Ojeda01. Use it when you need a label for a piece of text. It is set up for transformers.

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

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At a glance

Task: Text Classification
Library: transformers
Model type: bert
Access: Public
Created: Feb 27, 2023
Updated: Feb 27, 2023
SHA: 84478297

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Model card

From the Hugging Face model README

bert_base_cased_MultiClass_v2

This model is a fine-tuned version of HMEXBI/bert_base_cased_MultiClass on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.9806
Accuracy: 0.8101

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: 8
eval_batch_size: 32
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
1.1396	1.0	545	0.9023	0.7615
0.6961	2.0	1090	0.8074	0.7798
0.492	3.0	1635	0.8216	0.8009
0.3032	4.0	2180	0.9264	0.8018
0.1898	5.0	2725	0.9806	0.8101

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.0
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: bert
Created: Feb 27, 2023
Updated: Feb 27, 2023