bangla-bert-base-MLTC-1 – AI Model by NaeemCSECUET18 | AlphaNeural AI

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NaeemCSECUET18/
bangla-bert-base-MLTC-1

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text-classification

generated_from_trainer

sagorsarker/bangla-bert-base

autotrain_compatible

endpoints_compatible

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bangla-bert-base-MLTC-1

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: 0.3627
F1: 0.8553
Roc Auc: 0.8521
Accuracy: 0.5707
Hamming Loss: 0.1478
Jaccard Score: 0.7473
Zero One Loss: 0.4293

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	F1	Roc Auc	Accuracy	Hamming Loss	Jaccard Score	Zero One Loss
0.3717	1.0	146	0.3740	0.8447	0.8438	0.5398	0.1562	0.7312	0.4602
0.3812	2.0	292	0.3627	0.8373	0.8420	0.5476	0.1581	0.7201	0.4524
0.2373	3.0	438	0.3830	0.8450	0.8386	0.5476	0.1613	0.7316	0.4524
0.1688	4.0	584	0.3610	0.8555	0.8534	0.5758	0.1465	0.7475	0.4242
0.153	5.0	730	0.3627	0.8553	0.8521	0.5707	0.1478	0.7473	0.4293

Framework versions

Transformers 4.41.1
Pytorch 2.1.2
Datasets 2.19.1
Tokenizers 0.19.1