modernbert-llm-router – AI Model by ade127 | AlphaNeural AI

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ade127/
modernbert-llm-router

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text-classification

generated_from_trainer

google-bert/bert-base-uncased

autotrain_compatible

endpoints_compatible

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modernbert-llm-router

This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0320
F1: 0.9927

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: 1e-05
train_batch_size: 32
eval_batch_size: 16
seed: 42
optimizer: Use 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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.048	1.0	479	0.0369	0.9889
0.0296	2.0	958	0.0320	0.9927

Framework versions

Transformers 4.49.0
Pytorch 2.7.1+cu126
Datasets 3.6.0
Tokenizers 0.21.1