---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: Bert-political-classification
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Bert-political-classification

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.4234
- eval_accuracy: 0.8393
- eval_f1: 0.6213
- eval_precision: 0.6361
- eval_recall: 0.6116
- eval_runtime: 6.9231
- eval_samples_per_second: 555.386
- eval_steps_per_second: 34.811
- step: 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: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5

### Framework versions

- Transformers 4.40.2
- Pytorch 2.1.2
- Tokenizers 0.19.1