FinBERT_Tuned / README.md
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metadata
base_model: ProsusAI/finbert
tags:
  - generated_from_trainer
model-index:
  - name: FinBERT_Tuned
    results: []

FinBERT_Tuned

This model is a fine-tuned version of ProsusAI/finbert on the None dataset.

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: 2e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 148 0.4307 0.7776

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3