---
library_name: transformers
license: apache-2.0
base_model: unitary/toxic-bert
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [unitary/toxic-bert](https://huggingface.co/unitary/toxic-bert) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1722
- Accuracy: 71.6771
- Hamming Loss: 0.0620

## 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: 0.001
- train_batch_size: 32
- eval_batch_size: 128
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Hamming Loss |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------------:|
| 0.1662        | 1.0   | 259  | 0.2600          | 19.9613  | 0.1367       |
| 0.1763        | 2.0   | 518  | 0.1722          | 71.6771  | 0.0620       |
| 0.1825        | 3.0   | 777  | 0.1750          | 71.6771  | 0.0620       |
| 0.1677        | 4.0   | 1036 | 0.1722          | 71.6771  | 0.0620       |
| 0.1827        | 5.0   | 1295 | 0.1696          | 71.6771  | 0.0620       |
| 0.1542        | 6.0   | 1554 | 0.1698          | 71.6771  | 0.0620       |
| 0.1803        | 7.0   | 1813 | 0.1746          | 71.6771  | 0.0620       |
| 0.1691        | 8.0   | 2072 | 0.1702          | 71.6771  | 0.0620       |
| 0.1989        | 9.0   | 2331 | 0.1702          | 71.6771  | 0.0620       |
| 0.1884        | 10.0  | 2590 | 0.1693          | 71.6771  | 0.0620       |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3