dosai/distilbert-sud

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

• Train Loss: 0.0026
• Epoch: 29

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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 40440, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.001}
• training_precision: mixed_float16

Training results

Train Loss	Epoch
0.5392	0
0.2639	1
0.1945	2
0.1562	3
0.1274	4
0.1065	5
0.0871	6
0.0714	7
0.0598	8
0.0499	9
0.0436	10
0.0376	11
0.0305	12
0.0286	13
0.0223	14
0.0215	15
0.0210	16
0.0139	17
0.0147	18
0.0119	19
0.0091	20
0.0086	21
0.0077	22
0.0055	23
0.0060	24
0.0047	25
0.0039	26
0.0037	27
0.0028	28
0.0026	29

Framework versions

• Transformers 4.29.2
• TensorFlow 2.12.0
• Datasets 2.12.0
• Tokenizers 0.13.3