|
--- |
|
base_model: huggingface/CodeBERTa-small-v1 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: oo-method-test-model-bylibrary |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# oo-method-test-model-bylibrary |
|
|
|
This model is a fine-tuned version of [huggingface/CodeBERTa-small-v1](https://huggingface.co/huggingface/CodeBERTa-small-v1) on the ejschwartz/oo-method-test-split dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.3303 |
|
- Accuracy: 0.9161 |
|
- Best Accuracy: 0.9161 |
|
|
|
## 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: 2.386135927313411e-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: cosine |
|
- lr_scheduler_warmup_ratio: 0.05 |
|
- training_steps: 887 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Best Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:| |
|
| 0.3788 | 0.02 | 178 | 0.6188 | 0.8470 | 0.8470 | |
|
| 0.1456 | 0.04 | 356 | 0.6572 | 0.8519 | 0.8519 | |
|
| 0.17 | 0.05 | 534 | 0.4926 | 0.8798 | 0.8798 | |
|
| 0.1162 | 0.07 | 712 | 0.3303 | 0.9161 | 0.9161 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.33.1 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.13.3 |
|
|
