---
library_name: transformers
license: apache-2.0
base_model: google-bert/bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: discord_classification2
  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. -->

# discord_classification2

This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co./google-bert/bert-base-uncased) on the [Text classification documentation](https://www.kaggle.com/datasets/tanishqdublish/text-classification-documentation/data) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0020
- Accuracy: 1.0
- Auc: 1.0

## 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---:|
| 0.1484        | 1.0   | 92   | 0.0125          | 1.0      | 1.0 |
| 0.0164        | 2.0   | 184  | 0.0086          | 1.0      | 1.0 |
| 0.0138        | 3.0   | 276  | 0.0038          | 1.0      | 1.0 |
| 0.0073        | 4.0   | 368  | 0.0095          | 0.989    | 1.0 |
| 0.0052        | 5.0   | 460  | 0.0023          | 1.0      | 1.0 |
| 0.0065        | 6.0   | 552  | 0.0021          | 1.0      | 1.0 |
| 0.0041        | 7.0   | 644  | 0.0018          | 1.0      | 1.0 |
| 0.0062        | 8.0   | 736  | 0.0023          | 1.0      | 1.0 |
| 0.0032        | 9.0   | 828  | 0.0020          | 1.0      | 1.0 |
| 0.0044        | 10.0  | 920  | 0.0020          | 1.0      | 1.0 |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0