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financial-twhin-bert-large-3labels

This model is a fine-tuned version of Twitter/twhin-bert-large on finance related tweets. It achieves the following results on the evaluation set:

  • Loss: 0.2959
  • Accuracy: 0.8934
  • F1: 0.8943

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: 2.0998212817984933e-05
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 2

Training results

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.17.1
  • Tokenizers 0.15.2
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Dataset used to train kekunh/financial-twhin-bert-large-3labels