metadata

library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: ModernBERT-domain-classifier
    results: []

ModernBERT-domain-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: 2.6951
F1: 0.1918

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 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	14	1.8116	0.1098
No log	2.0	28	1.8926	0.1135
No log	3.0	42	1.9352	0.2894
No log	4.0	56	2.5302	0.2592
No log	5.0	70	2.6951	0.1918

Framework versions

Transformers 4.48.0.dev0
Pytorch 2.5.0+cu124
Datasets 3.1.0
Tokenizers 0.21.0