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# model_category_dataset_hate_speech_epoch_lr_1e5

This model is a fine-tuned version of [IMSyPP/hate_speech_en](https://huggingface.co/IMSyPP/hate_speech_en) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1725
- Accuracy: 0.9400
- Macro F1: 0.9400
- Micro F1: 0.9400
- Weighted F1: 0.9400
- Precision: 0.9408
- Recall: 0.9400

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 | Micro F1 | Weighted F1 | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:--------:|:-----------:|:---------:|:------:|
| No log        | 1.0   | 47   | 0.2610          | 0.8990   | 0.8988   | 0.8990   | 0.8988      | 0.9019    | 0.8989 |
| No log        | 2.0   | 94   | 0.1917          | 0.9310   | 0.9309   | 0.9310   | 0.9309      | 0.9318    | 0.9309 |
| No log        | 3.0   | 141  | 0.1829          | 0.9330   | 0.9329   | 0.9330   | 0.9329      | 0.9342    | 0.9330 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall"], "base_model": "IMSyPP/hate_speech_en", "model-index": [{"name": "model_category_dataset_hate_speech_epoch_lr_1e5", "results": []}]}
transformers safetensors bert text-classification generated_from_trainer base_model:IMSyPP/hate_speech_en license:mit autotrain_compatible endpoints_compatible region:us