roberta-base-finetuned-hate_speech

This model is a fine-tuned version of klue/roberta-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.9118
• F1: 0.5217

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: 1.561667708933033e-06
• train_batch_size: 64
• eval_batch_size: 128
• seed: 7
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 10
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	87	1.0658	0.2015
No log	2.0	174	1.0056	0.3060
No log	3.0	261	0.9283	0.5110
No log	4.0	348	0.9118	0.5217

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.0+cu121
• Datasets 2.17.0
• Tokenizers 0.15.2