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finBERT-KAM-Classifier

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metadata
library_name: transformers
base_model: yiyanghkust/finbert-tone
tags:
  - generated_from_trainer
model-index:
  - name: finBERT-KAM-Classifier
    results: []

finBERT-KAM-Classifier

This model is a fine-tuned version of yiyanghkust/finbert-tone on the None dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.6176
  • eval_runtime: 362.8878
  • eval_samples_per_second: 36.052
  • eval_steps_per_second: 4.508
  • epoch: 1.8812
  • step: 12307

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: 8
  • 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_steps: 500
  • num_epochs: 3

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1