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freyagracia/indonesian-roberta-base-posp-tagger-finetuned-tweet_pemilu_postagger

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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freyagracia/indonesian-roberta-base-posp-tagger-finetuned-tweetpemilupostagger

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: 8.1066
  • —Validation Loss: 7.8001
  • —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', 'learningrate': {'module': 'transformers.optimizationtf', 'classname': 'WarmUp', 'config': {'initiallearningrate': 2e-05, 'decayschedulefn': {'module': 'keras.optimizers.schedules', 'classname': 'PolynomialDecay', 'config': {'initiallearningrate': 2e-05, 'decaysteps': -969, 'endlearningrate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registeredname': None}, 'warmupsteps': 1000, 'power': 1.0, 'name': None}, 'registeredname': 'WarmUp'}, 'decay': 0.0, 'beta1': 0.9, 'beta2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weightdecayrate': 0.01}
  • —trainingprecision: mixedfloat16

Training results

Train LossValidation LossEpoch
11.840911.46120
10.774610.05321
9.56519.02622
8.72268.27803
8.10667.80014

Framework versions

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