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# modelo_racismo_13_dez

This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0996
- F1: 0.9861
- Accuracy: 0.9844

## 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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
| 0.6264        | 1.0   | 643  | 0.6426          | 0.8423 | 0.8179   |
| 0.7407        | 2.0   | 1286 | 0.4516          | 0.9121 | 0.9019   |
| 0.5953        | 3.0   | 1929 | 0.2944          | 0.9492 | 0.9416   |
| 0.3275        | 4.0   | 2572 | 0.3128          | 0.9522 | 0.9447   |
| 0.3185        | 5.0   | 3215 | 0.1861          | 0.9732 | 0.9696   |
| 0.1702        | 6.0   | 3858 | 0.1225          | 0.9818 | 0.9798   |
| 0.1411        | 7.0   | 4501 | 0.1027          | 0.9854 | 0.9837   |
| 0.0895        | 8.0   | 5144 | 0.0996          | 0.9861 | 0.9844   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["f1", "accuracy"], "base_model": "distilbert-base-multilingual-cased", "model-index": [{"name": "modelo_racismo_13_dez", "results": []}]}
transformers tensorboard safetensors distilbert text-classification generated_from_trainer base_model:distilbert-base-multilingual-cased license:apache-2.0 autotrain_compatible endpoints_compatible region:us