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perspective-toxic-bert – AI Model by meghanagottapu | AlphaNeural AI
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meghanagottapu
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perspective-toxic-bert
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transformers
safetensors
bert
generated_from_trainer
unitary/toxic-bert
finetune
apache-2.0
endpoints_compatible
us
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perspective-toxic-bert
This model is a fine-tuned version of
unitary/toxic-bert
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4656
Tox Mse: 0.0239
Tox Auc: 0.9631
Dir Accuracy: 0.8345
Dir F1 Macro: 0.5567
Dir F1 Weighted: 0.8714
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: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.06
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Tox Mse
Tox Auc
Dir Accuracy
Dir F1 Macro
Dir F1 Weighted
0.6404
1.0
997
0.4656
0.0239
0.9631
0.8345
0.5567
0.8714
Framework versions
Transformers 5.7.0
Pytorch 2.11.0+cu130
Datasets 4.8.5
Tokenizers 0.22.2
