---
language: en
---

# Model Card for BenjaminOcampo/model-hatebert__trained-in-ishate__seed-0

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## Model Details

### Model Description

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**Classification results dev set**
```
              precision    recall  f1-score   support

           0     0.8901    0.8884    0.8893      2680
           1     0.8233    0.8257    0.8245      1687

    accuracy                         0.8642      4367
   macro avg     0.8567    0.8571    0.8569      4367
weighted avg     0.8643    0.8642    0.8642      4367
```
**Classification results test set**
```
              precision    recall  f1-score   support

           0     0.9014    0.8967    0.8990      2681
           1     0.8372    0.8441    0.8406      1687

    accuracy                         0.8764      4368
   macro avg     0.8693    0.8704    0.8698      4368
weighted avg     0.8766    0.8764    0.8765      4368
```


- **Developed by:** Benjamin Ocampo
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** en
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- **Finetuned from model [optional]:** [More Information Needed]

### Model Sources [optional]

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- **Repository:** https://github.com/huggingface/huggingface_hub
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## Uses

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### Direct Use

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### Downstream Use [optional]

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### Out-of-Scope Use

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## Bias, Risks, and Limitations

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### Recommendations

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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

### How to Get Started with the Model

Use the code below to get started with the model.

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## Training Details

### Training Data

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### Training Procedure 

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#### Preprocessing [optional]

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#### Training Hyperparameters

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## Evaluation

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### Testing Data, Factors & Metrics

#### Testing Data

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#### Factors

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#### Metrics

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### Results

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#### Summary



## Model Examination [optional]

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## Environmental Impact

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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

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## Technical Specifications [optional]

### Model Architecture and Objective

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## Citation [optional]

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## Glossary [optional]

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