---
license: cc
base_model: davidmasip/racism
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
model-index:
- name: racism-finetuned-detests24
  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. -->

# racism-finetuned-detests24

This model is a fine-tuned version of [davidmasip/racism](https://huggingface.co./davidmasip/racism) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1060
- Accuracy: 0.8429
- F1-score: 0.7668
- Precision: 0.7800
- Recall: 0.7562
- Auc: 0.7562

## 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: 2e-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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1-score | Precision | Recall | Auc    |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------:|:------:|:------:|
| 0.3373        | 1.0   | 153  | 0.3420          | 0.8478   | 0.7336   | 0.8355    | 0.6985 | 0.6985 |
| 0.2465        | 2.0   | 306  | 0.7181          | 0.8478   | 0.7747   | 0.7873    | 0.7644 | 0.7644 |
| 0.0004        | 3.0   | 459  | 0.9072          | 0.8380   | 0.7689   | 0.7696    | 0.7682 | 0.7682 |
| 0.0002        | 4.0   | 612  | 0.9867          | 0.8429   | 0.7668   | 0.7800    | 0.7562 | 0.7562 |
| 0.0001        | 5.0   | 765  | 1.0289          | 0.8429   | 0.7655   | 0.7807    | 0.7537 | 0.7537 |
| 0.0001        | 6.0   | 918  | 1.0580          | 0.8445   | 0.7686   | 0.7829    | 0.7572 | 0.7572 |
| 0.0001        | 7.0   | 1071 | 1.0791          | 0.8429   | 0.7668   | 0.7800    | 0.7562 | 0.7562 |
| 0.0001        | 8.0   | 1224 | 1.0939          | 0.8429   | 0.7668   | 0.7800    | 0.7562 | 0.7562 |
| 0.0001        | 9.0   | 1377 | 1.1029          | 0.8429   | 0.7668   | 0.7800    | 0.7562 | 0.7562 |
| 0.0001        | 10.0  | 1530 | 1.1060          | 0.8429   | 0.7668   | 0.7800    | 0.7562 | 0.7562 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1