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