Megagon-step1_model

This model is a fine-tuned version of jicoc22578/autotrain-livedoor_news-722922024 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.0806
• Train Accuracy: 0.9711
• Validation Loss: 0.2171
• Validation Accuracy: 0.9351
• Epoch: 2

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': False, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 2832, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
0.3175	0.9077	0.2711	0.9234	0
0.1671	0.9429	0.2022	0.9444	1
0.0806	0.9711	0.2171	0.9351	2

Framework versions

• Transformers 4.33.1
• TensorFlow 2.13.0
• Datasets 2.14.5
• Tokenizers 0.13.3