cheer-up-all

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

• Train Loss: 0.5856
• Train Accuracy: 0.8079
• Validation Loss: 1.6573
• Validation Accuracy: 0.5439
• Epoch: 4

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': {'module': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 5e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 8789, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 976, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, 'decay': 0.0, 'beta_1': np.float32(0.9), 'beta_2': np.float32(0.999), 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.1}
• training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
2.5491	0.2892	1.9098	0.4205	0
1.5849	0.5096	1.6458	0.5104	1
1.1699	0.6190	1.6185	0.5175	2
0.8357	0.7204	1.6260	0.5385	3
0.5856	0.8079	1.6573	0.5439	4

Framework versions

• Transformers 4.55.4
• TensorFlow 2.19.0
• Datasets 4.0.0
• Tokenizers 0.21.4