Edit model card

DeBERTa v3 small fine-tuned on hate_speech18 dataset for Hate Speech Detection

This model is a fine-tuned version of microsoft/deberta-v3-small on the hate_speech18 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2922
  • Accuracy: 0.9161

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.4147 1.0 650 0.3910 0.8832
0.2975 2.0 1300 0.2922 0.9161
0.2575 3.0 1950 0.3555 0.9051
0.1553 4.0 2600 0.4263 0.9124
0.1267 5.0 3250 0.4238 0.9161

Framework versions

  • Transformers 4.12.5
  • Pytorch 1.10.0+cu111
  • Datasets 1.16.1
  • Tokenizers 0.10.3
Downloads last month
142
Hosted inference API
Text Classification
Examples
Examples
This model can be loaded on the Inference API on-demand.

Dataset used to train Narrativaai/deberta-v3-small-finetuned-hate_speech18

Evaluation results