temp
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: 0.0850
- Accuracy: 0.9815
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: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 51 | 0.1629 | 0.9407 |
| No log | 2.0 | 102 | 0.0894 | 0.9778 |
| No log | 3.0 | 153 | 0.0850 | 0.9815 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
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Base model
yiyanghkust/finbert-pretrain