kaytoo2022/t5_technical_qa_with_react_2

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

• Train Loss: 1.5754
• Validation Loss: 1.8786
• 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': 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
2.5639	2.2487	0
2.2752	2.1552	1
2.1253	2.0893	2
2.0155	2.0500	3
1.9230	2.0040	4
1.8434	1.9731	5
1.7722	1.9408	6
1.7102	1.9300	7
1.6478	1.8975	8
1.5754	1.8786	9

Framework versions

• Transformers 4.42.4
• TensorFlow 2.17.0
• Datasets 2.20.0
• Tokenizers 0.19.1