---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: finetuned-bert-uncased
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# Model description

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on this [Kaggle dataset](https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge).
It achieves the following results on the evaluation set:
- Loss: 0.0507

## Intended uses

The model is intended to be used for detecting 6 labels of toxicity. 
The model takes in a comment as string and predicts the probabilities of the 6 types of toxicity (as float between 0 and 1)

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0525        | 1.0   | 1250 | 0.0482          |
| 0.037         | 2.0   | 2500 | 0.0445          |
| 0.0275        | 3.0   | 3750 | 0.0489          |
| 0.0188        | 4.0   | 5000 | 0.0491          |
| 0.0146        | 5.0   | 6250 | 0.0507          |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Tokenizers 0.13.3