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misogynistic-statements-classification-model – AI Model by glombardo | AlphaNeural AI
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misogynistic-statements-classification-model
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transformers
pytorch
tensorboard
roberta
text-classification
generated_from_trainer
es
glombardo/misogynistic-statements-classification
apache-2.0
autotrain_compatible
endpoints_compatible
us
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Misogynistic statements classification model
Model that classifies text as sexist or non-sexist.
This model is a fine-tuned version of
distilroberta-base
on the
misogynistic-statements-classification dataset
. It achieves the following results on the evaluation set:
Loss: 0.2493
Accuracy: 0.9524
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3