beacon-product-classifier

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

• Loss: 0.2594
• F1: 0.9876

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_FUSED 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
No log	1.0	6	0.1665	1.0
No log	2.0	12	0.2268	0.9712
No log	3.0	18	0.5088	0.9135
No log	4.0	24	0.2909	0.9712
No log	5.0	30	0.2594	0.9876

Framework versions

• Transformers 4.48.0.dev0
• Pytorch 2.6.0+cu124
• Datasets 3.1.0
• Tokenizers 0.21.0