---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
base_model: roberta-base
model-index:
- name: roberta-base-finetuned-jigsaw-toxic
  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. -->

# roberta-base-finetuned-jigsaw-toxic

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0859
- Accuracy: 0.9747
- F1: 0.9746

## 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: 2e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.1179        | 1.0   | 2116 | 0.0982          | 0.9694   | 0.9694 |
| 0.0748        | 2.0   | 4232 | 0.0859          | 0.9747   | 0.9746 |
| 0.0582        | 3.0   | 6348 | 0.0916          | 0.9750   | 0.9750 |


### Framework versions

- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1