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clasificador-hate_speech_offensive – AI Model by igmarco | AlphaNeural AI
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igmarco
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clasificador-hate_speech_offensive
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transformers
pytorch
bert
text-classification
classification
generated_from_trainer
hate_speech_offensive
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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clasificador-hate_speech_offensive
This model is a fine-tuned version of
bert-base-uncased
on the hate_speech_offensive dataset. It achieves the following results on the evaluation set:
Loss: 0.3191
Accuracy: 0.9201
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: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.3425
1.0
2479
0.2982
0.9157
0.2783
2.0
4958
0.2695
0.9179
0.2321
3.0
7437
0.3191
0.9201
Framework versions
Transformers 4.27.2
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2
