---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-uncased-20-News-Group
  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. -->

# bert-uncased-20-News-Group

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8676
- Balanced Accuracy: 0.7123
- Accuracy: 0.7324

## 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: 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:-----------------:|:--------:|
| 1.2155        | 1.0   | 25   | 0.8842          | 0.5767            | 0.6378   |
| 0.6571        | 2.0   | 50   | 0.7429          | 0.6312            | 0.6896   |
| 0.3757        | 3.0   | 75   | 0.7148          | 0.7222            | 0.7317   |
| 0.173         | 4.0   | 100  | 0.8154          | 0.7175            | 0.7347   |
| 0.0638        | 5.0   | 125  | 0.8676          | 0.7123            | 0.7324   |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1