modernbert-llm-router – AI Model by LuisRamir3z | AlphaNeural AI

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LuisRamir3z/
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: 0.0194
F1: 0.9910

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_TORCH 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	F1
No log	1.0	56	0.0236	0.9910
0.1026	2.0	112	0.0194	0.9910

Framework versions

Transformers 4.48.0.dev0
Pytorch 2.4.1
Datasets 3.1.0
Tokenizers 0.21.0