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: 0.4671
• F1: 1.0

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: 9

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	1	0.7026	0.82
No log	2.0	2	0.6383	0.82
No log	3.0	3	0.5799	0.82
No log	4.0	4	0.4671	1.0
No log	5.0	5	0.4164	1.0
No log	6.0	6	0.4202	1.0
No log	7.0	7	0.3868	1.0
No log	8.0	8	0.3568	1.0
No log	9.0	9	0.3463	1.0

Framework versions

• Transformers 4.48.0.dev0
• Pytorch 2.4.1
• Datasets 3.1.0
• Tokenizers 0.21.0