ModernBERT-domain-classifier – AI Model by esekeroglu | AlphaNeural AI

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esekeroglu/
ModernBERT-domain-classifier

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text-classification

generated_from_trainer

answerdotai/ModernBERT-base

autotrain_compatible

endpoints_compatible

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ModernBERT-domain-classifier

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: 0.3117
F1: 0.9342

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: 7e-05
train_batch_size: 64
eval_batch_size: 32
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: 7

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	15	0.6936	0.8593
No log	2.0	30	0.4958	0.8719
No log	3.0	45	0.3710	0.9093
No log	4.0	60	0.3575	0.8912
No log	5.0	75	0.3046	0.9366
No log	6.0	90	0.3042	0.9398
0.4101	7.0	105	0.3117	0.9342

Framework versions

Transformers 4.48.0.dev0
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.21.0