celera_relevance / README.md
leetdavid's picture
add model
79e0f51
|
raw
history blame
1.83 kB
metadata
license: apache-2.0
tags:
  - generated_from_keras_callback
model-index:
  - name: celera_relevance
    results: []

celera_relevance

This model is a fine-tuned version of hfl/chinese-roberta-wwm-ext on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 0.3072
  • Train Sparse Categorical Accuracy: 0.8813
  • Validation Loss: 0.4371
  • Validation Sparse Categorical Accuracy: 0.8295
  • Epoch: 2

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', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Train Sparse Categorical Accuracy Validation Loss Validation Sparse Categorical Accuracy Epoch
0.4060 0.8274 0.3665 0.8440 0
0.3388 0.8594 0.3639 0.8585 1
0.3072 0.8813 0.4371 0.8295 2

Framework versions

  • Transformers 4.16.0
  • TensorFlow 2.7.0
  • Datasets 1.18.1
  • Tokenizers 0.11.0