transformers-qa

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

• Train Loss: 0.9300
• Validation Loss: 1.1437
• Epoch: 1

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': 'Adam', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
1.5145	1.1500	0
0.9300	1.1437	1

Framework versions

• Transformers 4.16.0.dev0
• TensorFlow 2.6.0
• Datasets 1.16.2.dev0
• Tokenizers 0.10.3