financial-sentiment-analysis
This model is a fine-tuned version of ahmedrachid/FinancialBERT on the financial_phrasebank dataset. It achieves the following results on the evaluation set:
- Loss: 0.0395
- Accuracy: 0.9924
- F1: 0.9924
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: 5
Training results
Framework versions
- Transformers 4.19.1
- Pytorch 1.11.0+cu113
- Datasets 2.2.1
- Tokenizers 0.12.1
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Dataset used to train Sigma/financial-sentiment-analysis
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Evaluation results
- Accuracy on financial_phrasebankself-reported0.992
- F1 on financial_phrasebankself-reported0.992