pytorch roberta text-classification transformers generated_from_trainer license:other model-index
---
license: other
tags:
- generated_from_trainer
model-index:
- name: distilroberta-hatespeech
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilroberta-hatespeech

This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3619
- Acc: 0.8423

## 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: 32
- eval_batch_size: 32
- seed: 12345
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 16
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Acc    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.3096        | 1.0   | 4021  | 0.3375          | 0.8540 |
| 0.3711        | 2.0   | 8042  | 0.3305          | 0.8574 |
| 0.322         | 3.0   | 12063 | 0.3398          | 0.8534 |
| 0.3197        | 4.0   | 16084 | 0.3444          | 0.8504 |
| 0.3332        | 5.0   | 20105 | 0.3619          | 0.8423 |


### Framework versions

- Transformers 4.11.3
- Pytorch 1.10.1
- Datasets 1.17.0
- Tokenizers 0.10.3
