metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: CommitPredictor
results: []
CommitPredictor
This model is a fine-tuned version of microsoft/codebert-base-mlm on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5238
- Accuracy: 0.8925
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:
- learning_rate: 1.7636624471082695e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7781 | 1.0 | 2440 | 0.6600 | 0.8638 |
| 0.6881 | 2.0 | 4880 | 0.6070 | 0.8760 |
| 0.6493 | 3.0 | 7320 | 0.5903 | 0.8794 |
| 0.6173 | 4.0 | 9760 | 0.5597 | 0.8849 |
| 0.5803 | 5.0 | 12200 | 0.5430 | 0.8888 |
| 0.5735 | 6.0 | 14640 | 0.5380 | 0.8891 |
| 0.575 | 7.0 | 17080 | 0.5392 | 0.8892 |
| 0.5517 | 8.0 | 19520 | 0.5279 | 0.8912 |
| 0.5552 | 9.0 | 21960 | 0.5283 | 0.8912 |
| 0.5542 | 10.0 | 24400 | 0.5238 | 0.8925 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2