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hatebert-ishate-29k – AI Model by vitthalbhandari | AlphaNeural AI
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hatebert-ishate-29k
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
GroNLP/hateBERT
finetune
text-embeddings-inference
endpoints_compatible
us
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hatebert-ishate-26k
This model is a fine-tuned version of
GroNLP/hateBERT
on the None dataset.
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: 17
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.1
Tokenizers 0.13.3