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gpt2-toxic-comment-classifier – AI Model by raavip | AlphaNeural AI
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raavip
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gpt2-toxic-comment-classifier
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transformers
safetensors
gpt2
text-classification
generated_from_trainer
openai-community/gpt2-medium
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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gpt2-toxic-comment-classifier
This model is a fine-tuned version of
gpt2-medium
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3832
F1: 0.7204
Roc Auc: 0.9582
Accuracy: 0.8918
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: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
F1
Roc Auc
Accuracy
0.478
1.0
8976
0.4752
0.7568
0.9453
0.9063
0.4525
2.0
17952
0.3832
0.7204
0.9582
0.8918
Framework versions
Transformers 4.55.4
Pytorch 2.8.0+cu128
Datasets 4.0.0
Tokenizers 0.21.4
