The model is intended to be used for detecting 6 labels of toxicity. The model takes in a comment as string and predicts the probabilities of the 6 types of toxicity (as float between 0 and 1)

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.0525	1.0	1250	0.0482
0.037	2.0	2500	0.0445
0.0275	3.0	3750	0.0489
0.0188	4.0	5000	0.0491
0.0146	5.0	6250	0.0507

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Tokenizers 0.13.3

andyqin18/finetuned-bert-uncased

Model description

Intended uses

Training procedure

Training hyperparameters

Training results

Framework versions

andyqin18/
finetuned-bert-uncased