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metadata
library_name: transformers
base_model: bert-base-chinese
tags:
  - generated_from_keras_callback
model-index:
  - name: node-py/my_awesome_eli5_clm-model
    results: []

node-py/my_awesome_eli5_clm-model

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: 0.0594
  • Epoch: 23

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': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
  • training_precision: float32

Training results

Train Loss Epoch
0.0882 0
0.0878 1
0.0852 2
0.0824 3
0.0810 4
0.0812 5
0.0790 6
0.0772 7
0.0755 8
0.0749 9
0.0717 10
0.0722 11
0.0718 12
0.0689 13
0.0863 14
0.0838 15
0.0731 16
0.0768 17
0.0675 18
0.0646 19
0.0650 20
0.0627 21
0.0610 22
0.0594 23

Framework versions

  • Transformers 4.44.2
  • TensorFlow 2.17.0
  • Datasets 2.21.0
  • Tokenizers 0.19.1