---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: bullying-classifier-model
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bullying-classifier-model

This model is a fine-tuned version of [martin-ha/toxic-comment-model](https://huggingface.co/martin-ha/toxic-comment-model) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4428
- Accuracy: 0.5232
- F1: 0.4763
- Precision: 0.6445
- Recall: 0.5232

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 25

### Training results



### Framework versions

- Transformers 4.16.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1