modernbert-human-vs-ai – AI Model by DiiGii | AlphaNeural AI

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DiiGii/
modernbert-human-vs-ai

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text-classification

generated_from_trainer

answerdotai/ModernBERT-base

autotrain_compatible

endpoints_compatible

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modernbert-human-vs-ai

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: 0.2876
F1: 0.64

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: 4
eval_batch_size: 4
seed: 42
optimizer: Use 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	5	0.4952	0.64
1.335	2.0	10	0.2938	1.0
1.335	3.0	15	0.2876	0.64

Framework versions

Transformers 4.53.0
Pytorch 2.5.0
Datasets 3.1.0
Tokenizers 0.21.2