tunarebus/indonesian-roberta-base-posp-tagger-finetuned-tweet_pemilu2024_2

This model is a fine-tuned version of w11wo/indonesian-roberta-base-posp-tagger on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 6.7581
• Validation Loss: 6.4974
• 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': {'module': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': -969, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, '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
11.7200	11.3464	0
10.7101	10.0138	1
9.4860	9.0052	2
8.6505	8.1202	3
8.0255	7.6902	4
7.6350	7.2934	5
7.3084	7.0449	6
7.0715	6.9226	7
6.9394	6.6571	8
6.7581	6.4974	9

Framework versions

• Transformers 4.35.2
• TensorFlow 2.15.0
• Datasets 2.16.0
• Tokenizers 0.15.0