mrm8488 / ModernBERT-base-ft-financial-news-sentiment-analysis

huggingface.co
Total runs: 250
24-hour runs: 0
7-day runs: 18
30-day runs: -122
Model's Last Updated: December 27 2024
text-classification

Introduction of ModernBERT-base-ft-financial-news-sentiment-analysis

Model Details of ModernBERT-base-ft-financial-news-sentiment-analysis

ModernBERT-base-ft-financial-news-sentiment-analysis-2

This model is a fine-tuned version of answerdotai/ModernBERT-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1293
  • F1 Score: 0.9765
  • Precision Score: 0.9765
  • Recall Score: 0.9765
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: 128
  • eval_batch_size: 128
  • seed: 42
  • optimizer: Use 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: 10
Training results
Training Loss Epoch Step Validation Loss F1 Score Precision Score Recall Score
0.6927 1.0 16 0.3884 0.8449 0.8816 0.8265
0.2203 2.0 32 0.2017 0.9556 0.9558 0.9559
0.0847 3.0 48 0.1663 0.9472 0.9507 0.9471
0.0273 4.0 64 0.1765 0.9705 0.9710 0.9706
0.0198 5.0 80 0.1980 0.9646 0.9653 0.9647
0.0141 6.0 96 0.1396 0.9795 0.9797 0.9794
0.0087 7.0 112 0.1204 0.9674 0.9677 0.9676
0.0013 8.0 128 0.1285 0.9705 0.9704 0.9706
0.0002 9.0 144 0.1274 0.9765 0.9765 0.9765
0.0002 10.0 160 0.1293 0.9765 0.9765 0.9765
Framework versions
  • Transformers 4.48.0.dev0
  • Pytorch 2.5.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.21.0

Runs of mrm8488 ModernBERT-base-ft-financial-news-sentiment-analysis on huggingface.co

250
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0
24-hour runs
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3-day runs
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7-day runs
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30-day runs

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