classifier-modernv1 – AI Model by Petri99 | AlphaNeural AI

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Petri99/
classifier-modernv1

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text-classification

generated_from_trainer

answerdotai/ModernBERT-base

text-embeddings-inference

endpoints_compatible

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classifier-modernv1

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: 0.2854
Accuracy: 0.9262
F1: 0.9262

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: 16
eval_batch_size: 16
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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.3628	1.0	625	0.2595	0.9113	0.9111
0.1682	2.0	1250	0.2854	0.9262	0.9262

Framework versions

Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1