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# 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
{"language": ["en"], "license": "mit", "tags": ["generated_from_trainer", "finance"], "datasets": ["ugursa/yahooFinanceNews"], "metrics": ["f1 = 0.8076", "recall = 0.8077", "precision = 0.8106"], "pipeline_tag": "text-classification", "model-index": [{"name": "yahoo-finance-news-sentiment", "results": []}]}
transformers pytorch distilbert text-classification generated_from_trainer finance en dataset:ugursa/yahooFinanceNews license:mit autotrain_compatible endpoints_compatible region:us