lmarchyok/e_results-10

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

• Train Loss: 2.2988
• Validation Loss: 2.1642
• 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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': -850, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'passive_serialization': True}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
3.1258	2.6586	0
2.7287	2.4807	1
2.6006	2.3940	2
2.5067	2.2871	3
2.4428	2.2827	4
2.3593	2.1923	5
2.3269	2.2088	6
2.2879	2.1612	7
2.2847	2.1540	8
2.2988	2.1642	9

Framework versions

• Transformers 4.26.1
• TensorFlow 2.11.0
• Datasets 2.13.1
• Tokenizers 0.13.2