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damand2061/innermore-x-indobertweet-base-uncased

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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damand2061/innermore-x-indobertweet-base-uncased

This model is a fine-tuned version of indolem/indobertweet-base-uncased on Innermore-X dataset, an Indonesian NER Movie Reviews on X (Twitter). It achieves the following results on the evaluation set:

  • —Train Loss: 0.0062
  • —Validation Loss: 0.1791
  • —Validation Precision: 0.8073
  • —Validation Recall: 0.7652
  • —Validation F1: 0.7857
  • —Validation Accuracy: 0.9622
  • —Epoch: 14

Model description

This model is a fine-tuned version of indolem/indobertweet-base-uncased on Innermore-X dataset, an Indonesian NER Movie Reviews on X (Twitter).

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', 'learningrate': {'module': 'keras.optimizers.schedules', 'classname': 'PolynomialDecay', 'config': {'initiallearningrate': 0.0002, 'decaysteps': 420, 'endlearningrate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registeredname': None}, 'decay': 0.0, 'beta1': 0.9, 'beta2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weightdecayrate': 0.01}
  • —training_precision: float32

Training results

Train LossValidation LossValidation PrecisionValidation RecallValidation F1Validation AccuracyEpoch
0.81070.51610.12700.13480.13080.84460
0.47210.32540.32320.23040.26900.90031
0.31980.24310.47760.50870.49260.92112
0.17840.15810.67410.65650.66520.94973
0.11770.13040.78900.74780.76790.96274
0.06660.14280.75450.73480.74450.95985
0.04990.15260.74560.73910.74240.95846
0.03390.16770.79450.75650.77510.96277
0.02610.15980.69960.70870.70410.95408
0.01780.17920.76680.74350.75500.95989
0.01270.19430.81860.72610.76960.959310
0.01020.18250.78900.74780.76790.959811
0.00830.17650.81020.76090.78480.962212
0.00620.17780.80180.75650.77850.961813
0.00620.17910.80730.76520.78570.962214

Framework versions

  • —Transformers 4.38.2
  • —TensorFlow 2.15.0
  • —Tokenizers 0.15.2