modernbert-llm-router – AI Model by RZJournal | AlphaNeural AI

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RZJournal/
modernbert-llm-router

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text-classification

generated_from_trainer

answerdotai/ModernBERT-base

autotrain_compatible

endpoints_compatible

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modernbert-llm-router

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: 0.6844
F1: 0.5534
Accuracy: 0.5597

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
optimizer: Use OptimizerNames.ADAMW_HF 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	Accuracy
0.6886	1.0	113	0.6932	0.4420	0.5256
0.6775	2.0	226	0.6861	0.5520	0.5533
0.6663	3.0	339	0.6851	0.5524	0.5533
0.665	4.0	452	0.6842	0.5405	0.5405
0.6604	5.0	565	0.6844	0.5534	0.5597

Framework versions

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