kaytoo2022/t5_technical_qa_with_react_3

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: 1.1006
• Validation Loss: 1.6608
• Epoch: 19

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
2.5832	2.2541	0
2.2701	2.1489	1
2.1253	2.0771	2
2.0259	2.0242	3
1.9282	1.9847	4
1.8461	1.9378	5
1.7743	1.9069	6
1.7029	1.8796	7
1.6345	1.8492	8
1.5830	1.8286	9
1.5227	1.8002	10
1.4597	1.7731	11
1.4119	1.7558	12
1.3577	1.7440	13
1.3038	1.7274	14
1.2705	1.7083	15
1.2188	1.6981	16
1.1836	1.6850	17
1.1456	1.6737	18
1.1006	1.6608	19

Framework versions

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