Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
ASTBERT-gb-5k-methods – AI Model by JasperGrant | AlphaNeural AI
You can deploy this model and start earning money today!
JasperGrant
/
ASTBERT-gb-5k-methods
like
0
transformers
tf
bert
fill-mask
generated_from_keras_callback
microsoft/graphcodebert-base
finetune
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
ASTBERT-gb-5k-methods
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: 0.0907
Train Accuracy: 0.9805
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
1.1843
0.8888
0
0.5507
0.9295
1
0.4962
0.9317
2
0.4450
0.9353
3
0.3849
0.9391
4
0.3208
0.9441
5
0.2545
0.9514
6
0.1904
0.9610
7
0.1351
0.9712
8
0.0907
0.9805
9
Framework versions
Transformers 4.31.0
TensorFlow 2.10.0
Datasets 2.18.0
Tokenizers 0.13.3
