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deadlyhacker/investopedia_finbert
This model is a fine-tuned version of ProsusAI/finbert on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.2476
- Train Accuracy: 0.1092
- Validation Loss: 1.2565
- Validation Accuracy: 0.1097
- Epoch: 10
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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|---|---|---|---|---|
| 2.5600 | 0.0855 | 1.7046 | 0.1015 | 0 |
| 1.7150 | 0.1006 | 1.5251 | 0.1041 | 1 |
| 1.5635 | 0.1032 | 1.4501 | 0.1053 | 2 |
| 1.4843 | 0.1046 | 1.3938 | 0.1064 | 3 |
| 1.4215 | 0.1058 | 1.3624 | 0.1075 | 4 |
| 1.3870 | 0.1062 | 1.3373 | 0.1077 | 5 |
| 1.3483 | 0.1071 | 1.3053 | 0.1082 | 6 |
| 1.3187 | 0.1079 | 1.3033 | 0.1090 | 7 |
| 1.2964 | 0.1083 | 1.2965 | 0.1081 | 8 |
| 1.2720 | 0.1088 | 1.2652 | 0.1088 | 9 |
| 1.2476 | 0.1092 | 1.2565 | 0.1097 | 10 |
Framework versions
- Transformers 4.29.1
- TensorFlow 2.10.1
- Datasets 2.12.0
- Tokenizers 0.13.3
