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ASTBERT-cb-5k-methods – AI Model by JasperGrant | AlphaNeural AI
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ASTBERT-cb-5k-methods
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transformers
tf
bert
fill-mask
generated_from_keras_callback
microsoft/codebert-base-mlm
finetune
autotrain_compatible
endpoints_compatible
us
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ASTBERT-cb-5k-methods
This model is a fine-tuned version of
microsoft/codebert-base-mlm
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.0903
Train Accuracy: 0.9806
Epoch: 9
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': 'Adam', 'learning_rate': 1e-04, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Train Accuracy
Epoch
1.2016
0.8863
0
0.5520
0.9294
1
0.4975
0.9315
2
0.4456
0.9353
3
0.3840
0.9391
4
0.3186
0.9443
5
0.2513
0.9517
6
0.1874
0.9614
7
0.1312
0.9718
8
0.0903
0.9806
9
Framework versions
Transformers 4.31.0
TensorFlow 2.10.0
Datasets 2.18.0
Tokenizers 0.13.3
