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BertClassifier4NepaliNews – AI Model by raygx | AlphaNeural AI
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raygx
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BertClassifier4NepaliNews
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transformers
tf
bert
text-classification
generated_from_keras_callback
mit
autotrain_compatible
endpoints_compatible
us
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BertClassifier4NepaliNews
This model is a fine-tuned version of
Shushant/nepaliBERT
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.3181
Validation Loss: 0.4388
Epoch: 2
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:
optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 5e-06, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.0001}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
0.6403
0.4846
0
0.4024
0.4300
1
0.3181
0.4388
2
Framework versions
Transformers 4.30.1
TensorFlow 2.12.0
Datasets 2.1.0
Tokenizers 0.13.3
