toxic_classification_model

This model is a fine-tuned version of MinhND2301/toxic_classification_model on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3017
• Accuracy: 0.9108

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	436	0.2677	0.9009
0.1858	2.0	872	0.2940	0.9030
0.151	3.0	1308	0.3017	0.9108

Framework versions

• Transformers 4.33.0
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.13.3