ashwinnaidu1991/FinTradeSummary

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

• Train Loss: 3.9106
• Validation Loss: 3.7745
• Epoch: 13

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	Validation Loss	Epoch
6.2916	5.5049	0
5.5218	5.1997	1
5.2408	4.9553	2
5.0173	4.7544	3
4.8206	4.5839	4
4.6587	4.4260	5
4.5152	4.2872	6
4.3932	4.1841	7
4.2874	4.0888	8
4.1955	3.9947	9
4.1106	3.9256	10
4.0380	3.8634	11
3.9677	3.8082	12
3.9106	3.7745	13

Framework versions

• Transformers 4.21.2
• TensorFlow 2.6.0
• Datasets 2.4.0
• Tokenizers 0.12.1