---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: multi-label-class-classification-on-github-issues
  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. -->

# multi-label-class-classification-on-github-issues

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1391
- Micro f1: 0.5005
- Macro f1: 0.0340

## 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: 3e-05
- train_batch_size: 128
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Micro f1 | Macro f1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
| No log        | 1.0   | 13   | 0.3988          | 0.3783   | 0.0172   |
| No log        | 2.0   | 26   | 0.3288          | 0.3791   | 0.0172   |
| No log        | 3.0   | 39   | 0.2753          | 0.3791   | 0.0172   |
| No log        | 4.0   | 52   | 0.2347          | 0.3791   | 0.0172   |
| No log        | 5.0   | 65   | 0.2051          | 0.3791   | 0.0172   |
| No log        | 6.0   | 78   | 0.1849          | 0.3791   | 0.0172   |
| No log        | 7.0   | 91   | 0.1710          | 0.3791   | 0.0172   |
| No log        | 8.0   | 104  | 0.1614          | 0.3791   | 0.0172   |
| No log        | 9.0   | 117  | 0.1546          | 0.3791   | 0.0172   |
| No log        | 10.0  | 130  | 0.1497          | 0.3796   | 0.0173   |
| No log        | 11.0  | 143  | 0.1458          | 0.4143   | 0.0238   |
| No log        | 12.0  | 156  | 0.1427          | 0.4567   | 0.0295   |
| No log        | 13.0  | 169  | 0.1406          | 0.4709   | 0.0310   |
| No log        | 14.0  | 182  | 0.1391          | 0.4886   | 0.0327   |
| No log        | 15.0  | 195  | 0.1386          | 0.4909   | 0.0330   |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2