darshan7/ResultQA_ON_TOTTO_07_06

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

• Train Loss: 0.0190
• Validation Loss: 0.0997
• Epoch: 9

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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 181655, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
0.1769	0.0943	0
0.0785	0.0822	1
0.0506	0.0809	2
0.0339	0.0918	3
0.0235	0.0997	4
0.0191	0.0997	5
0.0191	0.0997	6
0.0191	0.0997	7
0.0192	0.0997	8
0.0190	0.0997	9

Framework versions

• Transformers 4.29.0.dev0
• TensorFlow 2.12.0
• Datasets 2.12.0
• Tokenizers 0.13.3