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metadata
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-large
tags:
  - generated_from_trainer
model-index:
  - name: ModernEMO-wheel-large
    results: []

ModernEMO-wheel-large

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

  • Loss: 0.9956
  • Accuracy Score: 0.6601

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: 8e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.98) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy Score
1.2325 1.0 4545 1.0271 0.6488
0.8788 2.0 9090 0.9956 0.6601

Framework versions

  • Transformers 4.49.0.dev0
  • Pytorch 2.5.1+cu124
  • Datasets 3.2.0
  • Tokenizers 0.21.0