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modernbert_base_slop_classifier_v2 – AI Model by underscore2 | AlphaNeural AI
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underscore2
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modernbert_base_slop_classifier_v2
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transformers
tensorboard
safetensors
modernbert
text-classification
generated_from_trainer
answerdotai/ModernBERT-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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modernbert_base_slop_classifier_v2
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: 0.2727
Accuracy: 0.8792
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: 6.6666666666666675e-06
train_batch_size: 2
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 12
total_train_batch_size: 24
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
lr_scheduler_warmup_ratio: 0.15
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.8987
0.3180
150
0.3689
0.8255
6.6255
0.6360
300
0.3250
0.8591
5.764
0.9541
450
0.2727
0.8792
Framework versions
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
