my_wr2 / README.md
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Training in progress epoch 6
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metadata
base_model: bert-base-chinese
tags:
  - generated_from_keras_callback
model-index:
  - name: AIYIYA/my_wr2
    results: []

AIYIYA/my_wr2

This model is a fine-tuned version of bert-base-chinese on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 2.1208
  • Validation Loss: 2.1831
  • Train Accuracy: 0.4737
  • Epoch: 6

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': False, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 30, '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
2.8776 2.6967 0.0526 0
2.5610 2.4772 0.3158 1
2.4059 2.3114 0.4474 2
2.2749 2.2041 0.4474 3
2.1581 2.1831 0.4737 4
2.1664 2.1831 0.4737 5
2.1208 2.1831 0.4737 6

Framework versions

  • Transformers 4.31.0
  • TensorFlow 2.12.0
  • Datasets 2.14.4
  • Tokenizers 0.13.3