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nbbert_NCST – AI Model by yemen2016 | AlphaNeural AI
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yemen2016
/
nbbert_NCST
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
NbAiLab/nb-bert-base
finetune
cc-by-4.0
autotrain_compatible
endpoints_compatible
us
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nbbert_NCST
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: 0.4123
F1-score: 0.8174
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
F1-score
0.5078
1.0
535
0.4123
0.8174
0.417
2.0
1070
0.4540
0.8027
0.2917
3.0
1605
0.5587
0.8007
0.1978
4.0
2140
0.8186
0.7875
0.1333
5.0
2675
0.9502
0.7917
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
