kaytoo2022/t5_technical_qa_082624

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: 1.5907
• Validation Loss: 1.4118
• Epoch: 14

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
3.0296	2.3499	0
2.5467	2.1372	1
2.3870	2.0202	2
2.2760	1.9289	3
2.1699	1.8520	4
2.1014	1.7799	5
2.0080	1.7177	6
1.9476	1.6605	7
1.8703	1.6072	8
1.8273	1.5629	9
1.7563	1.5233	10
1.7263	1.4896	11
1.6807	1.4582	12
1.6361	1.4327	13
1.5907	1.4118	14

Framework versions

• Transformers 4.42.4
• TensorFlow 2.17.0
• Datasets 2.21.0
• Tokenizers 0.19.1