metadata
base_model: microsoft/codebert-base
tags:
- generated_from_trainer
model-index:
- name: CodeBertForCodeTrans
results: []
CodeBertForCodeTrans
This model is a fine-tuned version of microsoft/codebert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0006
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 12354.0
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.7169 | 1.0 | 644 | 4.5075 |
| 3.0571 | 2.0 | 1288 | 2.1423 |
| 0.7391 | 3.0 | 1932 | 0.2866 |
| 0.1028 | 4.0 | 2576 | 0.0219 |
| 0.0158 | 5.0 | 3220 | 0.0047 |
| 0.0065 | 6.0 | 3864 | 0.0024 |
| 0.0036 | 7.0 | 4508 | 0.0020 |
| 0.0028 | 8.0 | 5152 | 0.0014 |
| 0.0018 | 9.0 | 5796 | 0.0010 |
| 0.0023 | 10.0 | 6440 | 0.0017 |
| 0.002 | 11.0 | 7084 | 0.0009 |
| 0.002 | 12.0 | 7728 | 0.0012 |
| 0.0015 | 13.0 | 8372 | 0.0020 |
| 0.0028 | 14.0 | 9016 | 0.0010 |
| 0.0015 | 15.0 | 9660 | 0.0007 |
| 0.0027 | 16.0 | 10304 | 0.0015 |
| 0.002 | 17.0 | 10948 | 0.0007 |
| 0.0011 | 18.0 | 11592 | 0.0009 |
| 0.0019 | 19.0 | 12236 | 0.0007 |
| 0.0003 | 20.0 | 12880 | 0.0006 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0