address_parsing_test_1 – AI Model by Hasanmurad | AlphaNeural AI

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Hasanmurad/
address_parsing_test_1

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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address_parsing_test_1

This model is a fine-tuned version of csebuetnlp/banglabert on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0207
Precision: 0.9953
Recall: 0.9957
F1: 0.9955
Accuracy: 0.9963

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: 8
eval_batch_size: 8
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	Precision	Recall	F1	Accuracy
0.0669	1.0	1266	0.0168	0.9890	0.9913	0.9902	0.9937
0.02	2.0	2532	0.0132	0.9953	0.9961	0.9957	0.9967
0.0122	3.0	3798	0.0177	0.9949	0.9955	0.9952	0.9962
0.0068	4.0	5064	0.0181	0.9951	0.9957	0.9954	0.9963
0.0048	5.0	6330	0.0207	0.9953	0.9957	0.9955	0.9963

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2