---
library_name: transformers
license: openrail++
base_model: s-nlp/roberta_toxicity_classifier
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: test_roberta
  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. -->

# test_roberta

This model is a fine-tuned version of [s-nlp/roberta_toxicity_classifier](https://huggingface.co/s-nlp/roberta_toxicity_classifier) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3436
- Accuracy: 0.78

## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 100  | 0.5472          | 0.705    |
| No log        | 2.0   | 200  | 0.7076          | 0.795    |
| No log        | 3.0   | 300  | 1.3436          | 0.78     |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cpu
- Datasets 3.5.0
- Tokenizers 0.21.1