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sushantNGPT-NepSA – AI Model by raygx | AlphaNeural AI
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raygx
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sushantNGPT-NepSA
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transformers
tf
gpt2
text-classification
generated_from_keras_callback
bsd-3-clause-clear
autotrain_compatible
endpoints_compatible
us
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sushantNGPT-NepSA
This model is a fine-tuned version of
Shushant/thesis_nepaliGPT
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.6003
Validation Loss: 0.6551
Epoch: 3
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': 6.99e-06, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.001}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
0.8939
0.7639
0
0.7120
0.7073
1
0.6481
0.6529
2
0.6003
0.6551
3
Framework versions
Transformers 4.28.1
TensorFlow 2.11.0
Datasets 2.1.0
Tokenizers 0.13.3
