---
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
model-index:
- name: BERT-politics
  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-politics

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2282
- Precision: 0.0
- Recall: 0.0
- F1: 0.0

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|
| No log        | 1.0   | 306  | 0.2648          | 0.0       | 0.0    | 0.0 |
| 0.3517        | 2.0   | 612  | 0.2363          | 0.0       | 0.0    | 0.0 |
| 0.3517        | 3.0   | 918  | 0.2301          | 0.0       | 0.0    | 0.0 |
| 0.2116        | 4.0   | 1224 | 0.2282          | 0.0       | 0.0    | 0.0 |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1