nbbert_ED1 – AI Model by yemen2016 | AlphaNeural AI

You can deploy this model and start earning money today!

yemen2016/
nbbert_ED1

like

0

text-classification

generated_from_trainer

NbAiLab/nb-bert-base

autotrain_compatible

endpoints_compatible

Views

No views yet

nbbert_ED1

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: 0.4723
F1-score: 0.8930

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: 5e-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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1-score
No log	1.0	69	0.3745	0.8771
No log	2.0	138	0.4001	0.8605
No log	3.0	207	0.4723	0.8930
No log	4.0	276	0.6866	0.8442
No log	5.0	345	0.6563	0.8597
No log	6.0	414	0.9802	0.8328
No log	7.0	483	0.6917	0.8688
0.2309	8.0	552	0.6327	0.8759
0.2309	9.0	621	0.6371	0.8759
0.2309	10.0	690	0.6340	0.8765

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 3.0.0
Tokenizers 0.19.1