bangla-bert-base-VITD

ka05ar/bangla-bert-base-VITD

bangla-bert-base-VITD is a text classification model from ka05ar. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

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

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Aug 18, 2023
Updated: Aug 20, 2023
SHA: 018a744d

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Model card

From the Hugging Face model README

bangla-bert-base-VITD

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

Loss: 1.9621
Accuracy: 0.7263
F1 score: 0.7237

Training and evaluation data

banglaVITD is used for training and validation.

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 score
0.8085	1.0	169	0.7044	0.6970	0.7005
0.5263	2.0	338	0.6754	0.7211	0.7124
0.3115	3.0	507	0.7353	0.7301	0.7261
0.1598	4.0	676	1.0257	0.7180	0.7156
0.0906	5.0	845	1.5686	0.7030	0.7032
0.0702	6.0	1014	1.5592	0.7383	0.7307
0.0166	7.0	1183	1.7670	0.7293	0.7250
0.0092	8.0	1352	1.9016	0.7135	0.7129
0.0056	9.0	1521	1.9197	0.7248	0.7216
0.0018	10.0	1690	1.9621	0.7263	0.7237

Framework versions

Transformers 4.30.2
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
License: mit
Languages: bn
Created: Aug 18, 2023
Updated: Aug 20, 2023