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ASTBERT-gb-5k-methods-multipath – AI Model by JasperGrant | AlphaNeural AI
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JasperGrant
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ASTBERT-gb-5k-methods-multipath
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transformers
tf
bert
fill-mask
generated_from_keras_callback
microsoft/graphcodebert-base
finetune
autotrain_compatible
endpoints_compatible
us
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ASTBERT-gb-5k-methods-multipath
This model is a fine-tuned version of
microsoft/graphcodebert-base
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.1757
Train Accuracy: 0.9637
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
1.0763
0.8934
0
0.5565
0.9292
1
0.5056
0.9298
2
0.4761
0.9317
3
0.4387
0.9346
4
0.3948
0.9375
5
0.3434
0.9418
6
0.2872
0.9474
7
0.2297
0.9550
8
0.1757
0.9637
9
Framework versions
Transformers 4.31.0
TensorFlow 2.10.0
Datasets 2.18.0
Tokenizers 0.13.3
