berttiny-hate_speech18-bothpretrained

joseph10/berttiny-hate_speech18-bothpretrained

berttiny-hate_speech18-bothpretrained is a text classification model from joseph10. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

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

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Dec 9, 2023
Updated: Dec 9, 2023
SHA: 67468c5e

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Base models

agvidit1/GoogleTinyBert_HateSpeech_pretrain

Datasets

hate_speech18

Model card

From the Hugging Face model README

berttiny-hate_speech18-bothpretrained

This model is a fine-tuned version of agvidit1/GoogleTinyBert_HateSpeech_pretrain on the hate_speech18 dataset. It achieves the following results on the evaluation set:

Loss: 0.4682
Accuracy: 0.8798

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: 7.12739424754752e-05
train_batch_size: 16
eval_batch_size: 128
seed: 34
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4804	1.0	479	0.4778	0.8624
0.4592	2.0	958	0.4688	0.8761
0.4471	3.0	1437	0.4681	0.8780
0.4405	4.0	1916	0.4682	0.8798

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.1.1
Datasets 2.15.0
Tokenizers 0.15.0

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Dec 9, 2023
Updated: Dec 9, 2023