nbbert_NCS – AI Model by yemen2016 | AlphaNeural AI

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yemen2016/
nbbert_NCS

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text-classification

generated_from_trainer

NbAiLab/nb-bert-base

autotrain_compatible

endpoints_compatible

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nbbert_NCS

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

Loss: 0.4645
F1-score: 0.7958

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-score
0.5085	1.0	504	0.4645	0.7958
0.4027	2.0	1008	0.4524	0.7897
0.2655	3.0	1512	0.5993	0.7929
0.1758	4.0	2016	0.8533	0.7890
0.1048	5.0	2520	1.0830	0.7757
0.0536	6.0	3024	1.2138	0.7876
0.0438	7.0	3528	1.3657	0.7818
0.0162	8.0	4032	1.4657	0.7843
0.0151	9.0	4536	1.5118	0.7850
0.0086	10.0	5040	1.5580	0.7814

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1