BertALL – AI Model by MarPla | AlphaNeural AI

You can deploy this model and start earning money today!

MarPla/
BertALL

like

0

text-classification

generated_from_trainer

google-bert/bert-base-uncased

autotrain_compatible

endpoints_compatible

Views

No views yet

BertALL

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

Loss: 0.4052
Accuracy: 0.8834
Precision: 0.8107
Recall: 0.8046
F1: 0.8040
Top3: 0.9820
Top3macro: 0.9594

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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1	Top3	Top3macro
0.5593	1.0	7566	0.5067	0.8363	0.7252	0.6802	0.6880	0.9642	0.9173
0.3827	2.0	15132	0.4301	0.8662	0.7785	0.7760	0.7727	0.9766	0.9457
0.2735	3.0	22698	0.4170	0.8760	0.7973	0.7949	0.7920	0.9816	0.9577
0.2132	4.0	30264	0.4437	0.8846	0.8048	0.8186	0.8105	0.9828	0.9607

Framework versions

Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.2.1
Tokenizers 0.19.1