---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: toxic-text-classifier
  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. -->

# toxic-text-classifier

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4112
- Accuracy: 0.822

## 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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 0.2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.01  | 10   | 0.6865          | 0.506    |
| No log        | 0.02  | 20   | 0.6444          | 0.566    |
| No log        | 0.03  | 30   | 0.5503          | 0.727    |
| No log        | 0.04  | 40   | 0.5212          | 0.75     |
| No log        | 0.05  | 50   | 0.4971          | 0.769    |
| No log        | 0.06  | 60   | 0.4597          | 0.787    |
| No log        | 0.07  | 70   | 0.4458          | 0.796    |
| No log        | 0.08  | 80   | 0.4340          | 0.802    |
| No log        | 0.09  | 90   | 0.4339          | 0.814    |
| No log        | 0.1   | 100  | 0.4602          | 0.801    |
| No log        | 0.11  | 110  | 0.4563          | 0.799    |
| No log        | 0.12  | 120  | 0.4445          | 0.808    |
| No log        | 0.13  | 130  | 0.4654          | 0.8      |
| No log        | 0.14  | 140  | 0.4516          | 0.804    |
| No log        | 0.15  | 150  | 0.4326          | 0.809    |
| No log        | 0.16  | 160  | 0.4144          | 0.814    |
| No log        | 0.17  | 170  | 0.4091          | 0.822    |
| No log        | 0.18  | 180  | 0.4086          | 0.822    |
| No log        | 0.19  | 190  | 0.4099          | 0.822    |
| No log        | 0.2   | 200  | 0.4112          | 0.822    |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3