metadata

tags:
  - generated_from_trainer
  - finance
model-index:
  - name: yahoo-finance-news-sentiment
    results: []
license: mit
datasets:
  - ugursa/yahooFinanceNews
language:
  - en
metrics:
  - f1 = 0.8076
  - recall = 0.8077
  - precision = 0.8106
pipeline_tag: text-classification

yahoo-finance-news-sentiment

This model was trained from scratch on an unknown 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: 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
num_epochs: 3.0

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3