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BulBERT-fakenews-5epochs – AI Model by mor40 | AlphaNeural AI
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mor40
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BulBERT-fakenews-5epochs
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transformers
pytorch
bert
text-classification
generated_from_trainer
bgglue
mor40/BulBERT-chitanka-model
finetune
model-index
autotrain_compatible
endpoints_compatible
us
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BulBERT-fakenews-5epochs
This model is a fine-tuned version of
mor40/BulBERT-chitanka-model
on the bgglue dataset. It achieves the following results on the evaluation set:
Loss: 0.3487
Accuracy: 0.9050
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: 32
eval_batch_size: 32
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
Accuracy
No log
1.0
84
0.4732
0.7511
No log
2.0
168
0.3922
0.8552
No log
3.0
252
0.3230
0.8778
No log
4.0
336
0.3518
0.8959
No log
5.0
420
0.3487
0.9050
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
