modernbert-acceptance-classifier

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: 1.2069
• F1: 0.8146

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: 8
• eval_batch_size: 4
• 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.3748	1.0	3526	0.4155	0.8160
0.3	2.0	7052	0.4824	0.8216
0.1108	3.0	10578	1.2069	0.8146

Framework versions

• Transformers 4.48.0.dev0
• Pytorch 2.2.2
• Datasets 3.1.0
• Tokenizers 0.21.0