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modern-bert-classifier – AI Model by fehrno | AlphaNeural AI
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fehrno
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modern-bert-classifier
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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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modern-bert-classifier
This model is a fine-tuned version of
answerdotai/ModernBERT-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: nan
F1: 0.3150
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: 16
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.0
1.0
48
nan
0.3150
0.0
2.0
96
nan
0.3150
0.0
3.0
144
nan
0.3150
0.0
4.0
192
nan
0.3150
0.0
5.0
240
nan
0.3150
Framework versions
Transformers 4.48.1
Pytorch 2.3.1+cu121
Datasets 3.1.0
Tokenizers 0.21.0
