---
license: apache-2.0
base_model: odunola/bert-based_uncased-finetuned-binary_hate_speech
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: bert-based_uncased-finetuned-binary_hate_speech
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-based_uncased-finetuned-binary_hate_speech

This model is a fine-tuned version of [odunola/bert-based_uncased-finetuned-binary_hate_speech](https://huggingface.co/odunola/bert-based_uncased-finetuned-binary_hate_speech) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8676
- Accuracy: 0.8246
- F1: 0.8326
- Precision: 0.7961
- Recall: 0.8727

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.259         | 1.0   | 1941 | 0.5296          | 0.8213   | 0.8269 | 0.8014    | 0.8542 |
| 0.1841        | 2.0   | 3882 | 0.6760          | 0.8303   | 0.8402 | 0.7938    | 0.8923 |
| 0.1218        | 3.0   | 5823 | 0.8676          | 0.8246   | 0.8326 | 0.7961    | 0.8727 |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1