financial_summary_T5_base

This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.7050
• Validation Loss: 0.5454
• Epoch: 9

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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 4e-05, 'decay_steps': 80, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
1.3255	0.6531	0
1.0058	0.6045	1
0.9171	0.5763	2
0.9254	0.5612	3
0.8332	0.5539	4
0.7879	0.5495	5
0.7316	0.5467	6
0.7271	0.5461	7
0.7228	0.5455	8
0.7050	0.5454	9

Framework versions

• Transformers 4.35.2
• TensorFlow 2.14.0
• Datasets 2.15.0
• Tokenizers 0.15.0