bangla-bert-base-MLTC-BB2

NaeemCSECUET18/bangla-bert-base-MLTC-BB2

bangla-bert-base-MLTC-BB2 is a text classification model from NaeemCSECUET18. 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. --

Downloads · 30 days

11% of all-time downloads

All-time downloads

Public

Parameters

164M

11.8 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors658 MB · 99%

At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Jun 24, 2024
Updated: Jun 25, 2024
SHA: 4985ad66

Try a prompt

Base models

sagorsarker/bangla-bert-base

Model card

From the Hugging Face model README

bangla-bert-base-MLTC-BB2

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

Loss: 0.3996
F1: 0.8514
F1 Weighted: 0.8510
Roc Auc: 0.8483
Accuracy: 0.5373
Hamming Loss: 0.1517
Jaccard Score: 0.7412
Zero One Loss: 0.4627

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1	F1 Weighted	Roc Auc	Accuracy	Hamming Loss	Jaccard Score	Zero One Loss
0.3931	1.0	73	0.3859	0.8319	0.8312	0.8310	0.5244	0.1690	0.7123	0.4756
0.3635	2.0	146	0.3638	0.8540	0.8546	0.8528	0.5707	0.1472	0.7453	0.4293
0.2688	3.0	219	0.3676	0.8483	0.8465	0.8425	0.5553	0.1575	0.7366	0.4447
0.1841	4.0	292	0.3600	0.8562	0.8558	0.8534	0.5758	0.1465	0.7486	0.4242
0.1701	5.0	365	0.3677	0.8568	0.8565	0.8528	0.5681	0.1472	0.7495	0.4319
0.1499	6.0	438	0.3701	0.8551	0.8541	0.8534	0.5630	0.1465	0.7469	0.4370
0.1034	7.0	511	0.3825	0.8582	0.8576	0.8540	0.5527	0.1459	0.7516	0.4473
0.0793	8.0	584	0.4103	0.8443	0.8428	0.8393	0.5167	0.1607	0.7306	0.4833
0.0801	9.0	657	0.3960	0.8484	0.8484	0.8470	0.5373	0.1530	0.7367	0.4627
0.0812	10.0	730	0.3996	0.8514	0.8510	0.8483	0.5373	0.1517	0.7412	0.4627

Framework versions

Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: bert
License: mit
Created: Jun 24, 2024
Updated: Jun 25, 2024