---
license: other
tags:
- generated_from_trainer
model-index:
- name: distilroberta-offensive
  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. -->

# distilroberta-offensive

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: 0.4526
- Acc: 0.8975

## 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: 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.2321        | 1.0   | 1030 | 0.2404          | 0.9044 |
| 0.2539        | 2.0   | 2060 | 0.2139          | 0.9098 |
| 0.1997        | 3.0   | 3090 | 0.2561          | 0.9090 |
| 0.1663        | 4.0   | 4120 | 0.2409          | 0.9030 |
| 0.1515        | 5.0   | 5150 | 0.3000          | 0.9055 |
| 0.1035        | 6.0   | 6180 | 0.4170          | 0.9027 |
| 0.0466        | 7.0   | 7210 | 0.4526          | 0.8975 |


### Framework versions

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