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Librarian Bot: Add base_model information to model (#2)
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metadata
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
base_model: ProsusAI/finbert
model-index:
  - name: News-Sentimental-model-Buy-Neutral-Sell
    results: []

News-Sentimental-model-Buy-Neutral-Sell

This model is a fine-tuned version of ProsusAI/finbert on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0538
  • Accuracy: 0.4431
  • F1: 0.4431

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: 2

Training results

Framework versions

  • Transformers 4.30.2
  • Pytorch 2.1.0.dev20230523+cu117
  • Datasets 2.13.1
  • Tokenizers 0.13.3