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MiniModernBERT-qqp – AI Model by kartikeyapandey20 | AlphaNeural AI
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MiniModernBERT-qqp
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transformers
safetensors
modernbert
text-classification
generated_from_trainer
kartikeyapandey20/MiniModernBERT-Pretrained
finetune
mit
text-embeddings-inference
endpoints_compatible
us
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MiniModernBERT-qqp
This model is a fine-tuned version of
kartikeya-pandey/MiniModernBERT-Pretrained
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5676
Accuracy: 0.9024
F1: 0.8687
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: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.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: 3
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.57.1
Pytorch 2.9.0+cu128
Datasets 4.2.0
Tokenizers 0.22.1
