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ModernBERT-hf-posts-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: ModernBERT-hf-posts-classifier
    results: []

ModernBERT-hf-posts-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: 1.3951
  • F1: 0.6703

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: 16
  • eval_batch_size: 8
  • 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 26 1.2084 0.6381
No log 2.0 52 1.7850 0.5018
No log 3.0 78 1.1985 0.7118
0.4128 4.0 104 1.3353 0.6716
0.4128 5.0 130 1.3951 0.6703

Framework versions

  • Transformers 4.48.0
  • Pytorch 2.5.0+cu124
  • Datasets 3.1.0
  • Tokenizers 0.21.0