distilroberta-finetuned-tweets-hate-speech-finetuned

This model is a fine-tuned version of mrm8488/distilroberta-finetuned-tweets-hate-speech on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.5391
• Accuracy: 0.7956
• F1: 0.8417

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: 8
• eval_batch_size: 8
• 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
0.4544	1.0	1548	0.4946	0.8014	0.8517
0.41	2.0	3096	0.4559	0.8026	0.8493
0.3547	3.0	4644	0.5391	0.7956	0.8417

Framework versions

• Transformers 4.16.2
• Pytorch 1.12.1+cu113
• Datasets 1.18.3
• Tokenizers 0.13.2