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distilbert-finetuning-hate-speech-score-3000-samples-dropout005-epochs-10 – AI Model by dgalik | AlphaNeural AI
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distilbert-finetuning-hate-speech-score-3000-samples-dropout005-epochs-10
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transformers
pytorch
tensorboard
distilbert
generated_from_trainer
endpoints_compatible
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distilbert-finetuning-hate-speech-score-3000-samples-dropout005-epochs-10
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.5491
Mse: 1.5491
Rmse: 1.2446
Mae: 0.8043
R2: 0.7225
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
Training results
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3
