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bert-base-news-or-informational-nft-english – AI Model by dadashzadeh | AlphaNeural AI
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dadashzadeh
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bert-base-news-or-informational-nft-english
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
en
dadashzadeh/news-or-informational-nft
google-bert/bert-base-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-base-Classification-news-or-informational-nft
This model is a fine-tuned version of
bert-base-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0009
Accuracy: 0.9998
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.043
1.0
1175
0.0082
0.9984
0.0151
2.0
2350
0.0038
0.9994
0.0053
3.0
3525
0.0009
0.9998
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.15.0
