---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: distilbert-git-commits-bugfix-classification
  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. -->

# distilbert-git-commits-bugfix-classification

This model is a fine-tuned version of [neuralsentry/distilbert-git-commits-mlm](https://huggingface.co/neuralsentry/distilbert-git-commits-mlm) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5037
- Accuracy: 0.9231
- Precision: 0.85
- Recall: 1.0
- F1: 0.9189
- Roc Auc: 0.9318

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 420
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     | Roc Auc |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:-------:|
| 0.6837        | 1.0   | 22   | 0.6040          | 0.5897   | 0.5161    | 0.9412 | 0.6667 | 0.6297  |
| 0.3852        | 2.0   | 44   | 0.2881          | 0.9231   | 0.85      | 1.0    | 0.9189 | 0.9318  |
| 0.2148        | 3.0   | 66   | 0.3807          | 0.9231   | 0.85      | 1.0    | 0.9189 | 0.9318  |
| 0.0701        | 4.0   | 88   | 0.4934          | 0.8718   | 0.7727    | 1.0    | 0.8718 | 0.8864  |
| 0.0164        | 5.0   | 110  | 0.4892          | 0.8974   | 0.8095    | 1.0    | 0.8947 | 0.9091  |
| 0.0039        | 6.0   | 132  | 0.4929          | 0.8974   | 0.8095    | 1.0    | 0.8947 | 0.9091  |
| 0.0012        | 7.0   | 154  | 0.4065          | 0.9231   | 0.85      | 1.0    | 0.9189 | 0.9318  |
| 0.0008        | 8.0   | 176  | 0.4837          | 0.9231   | 0.85      | 1.0    | 0.9189 | 0.9318  |
| 0.0007        | 9.0   | 198  | 0.5000          | 0.9231   | 0.85      | 1.0    | 0.9189 | 0.9318  |
| 0.0006        | 10.0  | 220  | 0.5037          | 0.9231   | 0.85      | 1.0    | 0.9189 | 0.9318  |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3