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dtorber/
bertweet-large-sexism-detector

Name: bertweet-large-sexism-detector
Availability: InStock

generated_from_trainer

NLP-LTU/bertweet-large-sexism-detector

finetune

autotrain_compatible

endpoints_compatible

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bertweet-large-sexism-detector

This model is a fine-tuned version of NLP-LTU/bertweet-large-sexism-detector on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.9648
Icm: 0.2479
Icmnorm: 0.6258
Fmeasure: 0.7526

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: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Icm	Icmnorm	Fmeasure
0.8774	1.0	771	1.1253	-0.1346	0.4317	0.5634
0.9551	2.0	1542	0.8275	0.1264	0.5641	0.7110
0.9559	3.0	2313	0.9648	0.2479	0.6258	0.7526
0.6926	4.0	3084	1.5632	0.1570	0.5797	0.7172
0.4547	5.0	3855	1.8028	0.1284	0.5652	0.7098
0.2611	6.0	4626	1.9528	0.2025	0.6027	0.7359
0.1528	7.0	5397	2.1400	0.1119	0.5568	0.7073
0.1173	8.0	6168	2.1909	0.1524	0.5773	0.7195
0.1096	9.0	6939	2.4630	0.1166	0.5591	0.7073
0.0535	10.0	7710	2.4917	0.1809	0.5918	0.7276

Framework versions

Transformers 4.38.2
Pytorch 2.3.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2

dtorber/bertweet-large-sexism-detector

bertweet-large-sexism-detector

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

dtorber/
bertweet-large-sexism-detector