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modernbert_hate_speech_ft – AI Model by Dauren-Nur | AlphaNeural AI
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Dauren-Nur
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modernbert_hate_speech_ft
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transformers
safetensors
modernbert
text-classification
generated_from_trainer
answerdotai/ModernBERT-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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modernbert_hate_speech_ft
This model is a fine-tuned version of
answerdotai/ModernBERT-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4457
Accuracy: 0.7954
F1: 0.7788
Precision: 0.7825
Recall: 0.7752
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: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.98) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.4664
1.0
22519
0.4517
0.7919
0.7734
0.7829
0.7642
0.4471
2.0
45038
0.4458
0.7952
0.7790
0.7815
0.7766
0.4437
3.0
67557
0.4444
0.7959
0.7786
0.7852
0.7721
Framework versions
Transformers 4.49.0
Pytorch 2.6.0+cu126
Datasets 3.3.2
Tokenizers 0.21.0
