---
license: mit
tags:
- generated_from_trainer
model-index:
- name: my_awesome_propaganda_model
  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. -->

# my_awesome_propaganda_model

This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.6799
- eval_precision: 0.0639
- eval_recall: 0.0725
- eval_f1: 0.0679
- eval_accuracy: 0.8635
- eval_runtime: 12.6134
- eval_samples_per_second: 66.516
- eval_steps_per_second: 4.202
- epoch: 8.0
- step: 1416

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Framework versions

- Transformers 4.30.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.13.3