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distilbert-base-uncased-finetuned-hate_speech – AI Model by Dc26 | AlphaNeural AI
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Dc26
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distilbert-base-uncased-finetuned-hate_speech
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transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-finetuned-hate_speech
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3124
Accuracy: 0.9120
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: 4.403244198762251e-05
train_batch_size: 8
eval_batch_size: 32
seed: 34
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.2952
1.0
2479
0.2984
0.9088
0.232
2.0
4958
0.3124
0.9120
Framework versions
Transformers 4.27.4
Pytorch 1.13.1+cu116
Datasets 2.11.0
Tokenizers 0.13.2
