YSKartal / scibert_scivocab_uncased-finetuned-2-ref_disam

huggingface.co
Total runs: 1
24-hour runs: 0
7-day runs: 0
30-day runs: 1
Model's Last Updated: April 04 2023
text-classification

Introduction of scibert_scivocab_uncased-finetuned-2-ref_disam

Model Details of scibert_scivocab_uncased-finetuned-2-ref_disam

YSKartal/scibert_scivocab_uncased-finetuned-2-ref_disam

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

  • Train Loss: 4.3345
  • Validation Loss: 5.5243
  • Train Accuracy: 0.1562
  • Epoch: 3
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': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 16308, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
  • training_precision: float32
Training results
Train Loss Validation Loss Train Accuracy Epoch
6.8503 6.9170 0.0323 0
5.7494 6.3086 0.0738 1
4.9365 5.8427 0.1206 2
4.3345 5.5243 0.1562 3
Framework versions
  • Transformers 4.27.4
  • TensorFlow 2.12.0
  • Datasets 2.11.0
  • Tokenizers 0.13.2

Runs of YSKartal scibert_scivocab_uncased-finetuned-2-ref_disam on huggingface.co

1
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
1
30-day runs

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