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kluebert-f1-bullying-classifier – AI Model by kate1130 | AlphaNeural AI
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kate1130
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kluebert-f1-bullying-classifier
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transformers
safetensors
bert
text-classification
generated_from_trainer
klue/bert-base
finetune
cc-by-sa-4.0
autotrain_compatible
endpoints_compatible
us
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kluebert-f1-bullying-classifier
This model is a fine-tuned version of
klue/bert-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3995
F1: 0.8795
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: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 100
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.6449
1.0
109
0.3133
0.8870
0.2347
2.0
218
0.2899
0.8918
0.124
3.0
327
0.3657
0.8876
0.0704
4.0
436
0.3995
0.8795
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.1
Tokenizers 0.21.1
