---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: CommitPredictor
  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. -->

# CommitPredictor

This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codebert-base-mlm) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5037
- Accuracy: 0.8963

## 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: 2.722963804424848e-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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.7479        | 1.0   | 2440  | 0.6350          | 0.8715   |
| 0.6629        | 2.0   | 4880  | 0.5891          | 0.8793   |
| 0.6252        | 3.0   | 7320  | 0.5720          | 0.8829   |
| 0.5904        | 4.0   | 9760  | 0.5426          | 0.8883   |
| 0.5549        | 5.0   | 12200 | 0.5284          | 0.8918   |
| 0.5456        | 6.0   | 14640 | 0.5212          | 0.8927   |
| 0.5452        | 7.0   | 17080 | 0.5206          | 0.8933   |
| 0.5196        | 8.0   | 19520 | 0.5094          | 0.8948   |
| 0.5193        | 9.0   | 21960 | 0.5078          | 0.8950   |
| 0.5193        | 10.0  | 24400 | 0.5037          | 0.8963   |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2