metadata

tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
  - recall
  - precision
model-index:
  - name: ibert-roberta-base-Abusive_Or_Threatening_Speech
    results: []

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