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finbert-sentiment-v1
This model is a fine-tuned version of yiyanghkust/finbert-pretrain on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5863
- Accuracy: 0.7631
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: 4.450562175829955e-06
- train_batch_size: 4
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.593 | 1.0 | 1330 | 0.5560 | 0.7513 |
| 0.4803 | 2.0 | 2660 | 0.5863 | 0.7631 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
