bangla-bert-base-finetuned-ner-generated_data – AI Model by noor-raghib-12 | AlphaNeural AI

You can deploy this model and start earning money today!

noor-raghib-12/
bangla-bert-base-finetuned-ner-generated_data

like

0

token-classification

generated_from_trainer

sagorsarker/bangla-bert-base

autotrain_compatible

endpoints_compatible

Views

No views yet

bangla-bert-base-finetuned-ner-generated_data

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: 0.4748
Precision: 0.7043
Recall: 0.6659
F1: 0.6846
Accuracy: 0.8884

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: 50
eval_batch_size: 50
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	353	0.4835	0.6698	0.5814	0.6225	0.8740
0.498	2.0	706	0.4389	0.7019	0.6218	0.6594	0.8856
0.3208	3.0	1059	0.4310	0.6945	0.6567	0.6751	0.8906
0.3208	4.0	1412	0.4419	0.7138	0.6521	0.6816	0.8939
0.2343	5.0	1765	0.4555	0.6919	0.6753	0.6835	0.8914
0.1868	6.0	2118	0.4640	0.6974	0.6734	0.6852	0.8927

Framework versions

Transformers 4.54.0
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.2