ibert-roberta-base-Abusive_Or_Threatening_Speech

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

• Loss: 0.0802
• Accuracy: 0.9741
• F1: 0.7773
• Recall: 0.8610
• Precision: 0.7084

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: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Recall	Precision
0.0771	1.0	1828	0.0802	0.9741	0.7773	0.8610	0.7084

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0
• Datasets 2.8.0
• Tokenizers 0.12.1