toxicBERT-params

troesy/toxicBERT-params

toxicBERT-params is a token classification model from troesy. Use it when you need labels on individual words, such as names. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Token Classification
Library: transformers
Model type: bert
Access: Public
Created: Nov 9, 2022
Updated: Nov 9, 2022
SHA: 2bfe58d1

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Model card

From the Hugging Face model README

toxicBERT-params

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

Loss: 0.2938
Precision: 0.0
Recall: 0.0
F1: 0.0
Accuracy: 0.9174

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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	174	0.2364	0.9077
No log	2.0	348	0.2113	0.9190
0.2654	3.0	522	0.2195	0.9223
0.2654	4.0	696	0.2401	0.9211
0.2654	5.0	870	0.2679	0.9198
0.0844	6.0	1044	0.2930	0.9138
0.0844	7.0	1218	0.2938	0.9174

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.2

Task: Token Classification
Library: transformers
Type: bert
Created: Nov 9, 2022
Updated: Nov 9, 2022