whatsapp-group-classifier – AI Model by DTempo | AlphaNeural AI

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DTempo/
whatsapp-group-classifier

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text-classification

generated_from_trainer

google-bert/bert-base-uncased

autotrain_compatible

endpoints_compatible

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whatsapp-group-classifier

This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6423
Accuracy: 0.8605
Precision: 0.8759
Recall: 0.8691
F1: 0.8723

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	Precision	Recall	F1
0.5825	1.0	513	0.4116	0.8424	0.8689	0.8456	0.8548
0.3391	2.0	1026	0.3898	0.8551	0.8757	0.8657	0.8694
0.2476	3.0	1539	0.4915	0.8532	0.8659	0.8628	0.8641
0.1637	4.0	2052	0.5531	0.8556	0.8733	0.8671	0.8694
0.1173	5.0	2565	0.6423	0.8605	0.8759	0.8691	0.8723

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0