metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: CodeBERTa-commit-message-autocomplete
results: []
CodeBERTa-commit-message-autocomplete
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: 1.8796
- Accuracy: 0.6381
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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 40 | 4.5229 | 0.3460 |
| No log | 2.0 | 80 | 3.8419 | 0.3792 |
| No log | 3.0 | 120 | 3.1830 | 0.4538 |
| No log | 4.0 | 160 | 2.8435 | 0.5 |
| No log | 5.0 | 200 | 2.6741 | 0.5126 |
| No log | 6.0 | 240 | 2.6468 | 0.5211 |
| No log | 7.0 | 280 | 2.4902 | 0.5431 |
| No log | 8.0 | 320 | 2.4223 | 0.5590 |
| No log | 9.0 | 360 | 2.3677 | 0.5625 |
| No log | 10.0 | 400 | 2.3634 | 0.5654 |
| No log | 11.0 | 440 | 2.3334 | 0.5693 |
| No log | 12.0 | 480 | 2.1738 | 0.5963 |
| 3.0595 | 13.0 | 520 | 2.2148 | 0.5882 |
| 3.0595 | 14.0 | 560 | 2.2387 | 0.5878 |
| 3.0595 | 15.0 | 600 | 2.1472 | 0.5938 |
| 3.0595 | 16.0 | 640 | 2.1703 | 0.5963 |
| 3.0595 | 17.0 | 680 | 2.1183 | 0.5937 |
| 3.0595 | 18.0 | 720 | 2.1139 | 0.6035 |
| 3.0595 | 19.0 | 760 | 2.0543 | 0.6106 |
| 3.0595 | 20.0 | 800 | 2.0135 | 0.6148 |
| 3.0595 | 21.0 | 840 | 2.0445 | 0.6119 |
| 3.0595 | 22.0 | 880 | 1.9723 | 0.6221 |
| 3.0595 | 23.0 | 920 | 1.9972 | 0.6205 |
| 3.0595 | 24.0 | 960 | 1.9588 | 0.6280 |
| 2.1206 | 25.0 | 1000 | 1.9563 | 0.6280 |
| 2.1206 | 26.0 | 1040 | 1.9421 | 0.6254 |
| 2.1206 | 27.0 | 1080 | 1.9820 | 0.6291 |
| 2.1206 | 28.0 | 1120 | 1.8989 | 0.6315 |
| 2.1206 | 29.0 | 1160 | 1.8743 | 0.6330 |
| 2.1206 | 30.0 | 1200 | 1.8840 | 0.6389 |
| 2.1206 | 31.0 | 1240 | 1.9038 | 0.6325 |
| 2.1206 | 32.0 | 1280 | 1.8796 | 0.6381 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2