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---
license: cc
base_model: davidmasip/racism
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
model-index:
- name: racism-finetuned-detests
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-detests
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: 1.1626
- Accuracy: 0.8331
- F1-score: 0.7625
- Precision: 0.7625
- Recall: 0.7625
- Auc: 0.7625
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------:|:------:|:------:|
| 0.2554 | 1.0 | 174 | 0.3618 | 0.8380 | 0.7340 | 0.7901 | 0.7073 | 0.7073 |
| 0.0488 | 2.0 | 348 | 0.7445 | 0.8282 | 0.7549 | 0.7556 | 0.7543 | 0.7543 |
| 0.0005 | 3.0 | 522 | 0.9204 | 0.8429 | 0.7681 | 0.7794 | 0.7587 | 0.7587 |
| 0.0001 | 4.0 | 696 | 1.0194 | 0.8462 | 0.7741 | 0.7838 | 0.7659 | 0.7659 |
| 0.0001 | 5.0 | 870 | 1.0721 | 0.8363 | 0.7648 | 0.7676 | 0.7621 | 0.7621 |
| 0.0001 | 6.0 | 1044 | 1.1081 | 0.8331 | 0.7625 | 0.7625 | 0.7625 | 0.7625 |
| 0.0 | 7.0 | 1218 | 1.1324 | 0.8331 | 0.7625 | 0.7625 | 0.7625 | 0.7625 |
| 0.0 | 8.0 | 1392 | 1.1492 | 0.8331 | 0.7625 | 0.7625 | 0.7625 | 0.7625 |
| 0.0 | 9.0 | 1566 | 1.1592 | 0.8331 | 0.7625 | 0.7625 | 0.7625 | 0.7625 |
| 0.0 | 10.0 | 1740 | 1.1626 | 0.8331 | 0.7625 | 0.7625 | 0.7625 | 0.7625 |
### Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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