dosai/roberta-finetuned-squad

This model is a fine-tuned version of kz-transformers/kaz-roberta-conversational on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.6537
• 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 465, '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
1.8815	0
1.5186	1
1.3129	2
1.1710	3
1.0536	4
0.9395	5
0.8228	6
0.7734	7
0.7439	8
0.7094	9
0.6867	10
0.6723	11
0.6391	12
0.6235	13
0.6537	14

Framework versions

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