abdulrahman-nuzha / sentiment_model-answerdotai-ModernBERT-base-test

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Total runs: 0
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Model's Last Updated: March 10 2025
text-classification

Introduction of sentiment_model-answerdotai-ModernBERT-base-test

Model Details of sentiment_model-answerdotai-ModernBERT-base-test

sentiment_model-answerdotai-ModernBERT-base-test

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: 0.6653
  • Accuracy: 0.723
  • Precision: 0.7226
  • Recall: 0.723
  • F1: 0.7225
Model description

More information needed

Intended uses & limitations

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Training and evaluation data

More information needed

Training procedure
Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 2e-05
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 3
  • mixed_precision_training: Native AMP
Training results
Framework versions
  • Transformers 4.48.3
  • Pytorch 2.5.1+cu124
  • Datasets 3.3.2
  • Tokenizers 0.21.0

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