DarqueDante/masked-lm-tpu

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

• Train Loss: 9.9046
• Train Accuracy: 0.0011
• Validation Loss: 9.8052
• Validation Accuracy: 0.0078
• Epoch: 8

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': 0.0001, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0001, 'decay_steps': 22325, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'passive_serialization': True}, 'warmup_steps': 1175, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.001}
• training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
10.2398	0.0000	10.2295	0.0	0
10.2242	0.0000	10.2251	0.0	1
10.2208	0.0	10.1911	0.0	2
10.1852	0.0	10.1489	0.0	3
10.1440	0.0000	10.0999	0.0000	4
10.0989	0.0000	10.0304	0.0000	5
10.0447	0.0000	9.9604	0.0000	6
9.9717	0.0001	9.8835	0.0009	7
9.9046	0.0011	9.8052	0.0078	8

Framework versions

• Transformers 4.35.2
• TensorFlow 2.12.0
• Tokenizers 0.15.0