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ASTBERT-gb-25k-methods
JasperGrant/ASTBERT-gb-25k-methods
ASTBERT-gb-25k-methods is a fill-mask model from JasperGrant. Use it when you need the model to fill a missing word. It is set up for transformers.
probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Mar 24, 2024
- Updated
- Mar 24, 2024
- SHA
- b8f9dcf2
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
ASTBERT
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: 0.0535
- Train Accuracy: 0.9866
- 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 |
|---|---|---|
| 0.3447 | 0.9442 | 0 |
| 0.2808 | 0.9495 | 1 |
| 0.2292 | 0.9551 | 2 |
| 0.1844 | 0.9609 | 3 |
| 0.1434 | 0.9676 | 4 |
| 0.1121 | 0.9735 | 5 |
| 0.0891 | 0.9784 | 6 |
| 0.0741 | 0.9819 | 7 |
| 0.0625 | 0.9845 | 8 |
| 0.0535 | 0.9866 | 9 |
Framework versions
- Transformers 4.31.0
- TensorFlow 2.10.0
- Datasets 2.18.0
- Tokenizers 0.13.3
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- Created
- Mar 24, 2024
- Updated
- Mar 24, 2024