ModernBERT-domain-classifier – AI Model by dungtri11 | AlphaNeural AI

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dungtri11/
ModernBERT-domain-classifier

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text-classification

generated_from_trainer

answerdotai/ModernBERT-base

text-embeddings-inference

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: 0.5259
F1: 0.8195

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: 32
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	15	1.2923	0.6178
No log	2.0	30	0.7682	0.7289
No log	3.0	45	0.6128	0.7984
No log	4.0	60	0.5573	0.8195
No log	4.6897	70	0.5259	0.8195

Framework versions

Transformers 4.48.0.dev0
Pytorch 2.5.0+cu124
Datasets 3.1.0
Tokenizers 0.21.4