---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: distilbert-uncased-finetuned-toxic-comments-detection
  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. -->

# distilbert-uncased-finetuned-toxic-comments-detection

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1520
- Accuracy: 0.95
- Precision: 0.7391
- Recall: 0.8095
- F1: 0.7727

## 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: 16
- eval_batch_size: 8
- 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 | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.3892        | 1.0   | 50   | 0.2808          | 0.895    | 0.0       | 0.0    | 0.0    |
| 0.219         | 2.0   | 100  | 0.1732          | 0.93     | 0.8182    | 0.4286 | 0.5625 |
| 0.1313        | 3.0   | 150  | 0.1515          | 0.95     | 0.7391    | 0.8095 | 0.7727 |
| 0.0924        | 4.0   | 200  | 0.1520          | 0.95     | 0.7391    | 0.8095 | 0.7727 |
| 0.0749        | 5.0   | 250  | 0.1540          | 0.96     | 0.8095    | 0.8095 | 0.8095 |


### Framework versions

- Transformers 4.30.1
- Pytorch 2.0.1+cu118
- Tokenizers 0.13.3