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ModernBERT-domain-classifier

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metadata
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: domain-classifier
    results: []
datasets:
  - argilla/synthetic-domain-text-classification
language:
  - en

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: 0.3927
  • F1: 0.8914

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 29 0.7298 0.7744
No log 2.0 58 0.4369 0.8311
No log 3.0 87 0.6091 0.8399
0.7663 4.0 116 0.4352 0.8798
0.7663 5.0 145 0.3927 0.8914

Framework versions

  • Transformers 4.48.0.dev0
  • Pytorch 2.5.0
  • Datasets 3.1.0
  • Tokenizers 0.21.0