market_positivity / README.md
leetdavid's picture
Librarian Bot: Add base_model information to model (#1)
cb7eddc
|
raw
history blame
1.75 kB
metadata
license: apache-2.0
tags:
  - generated_from_keras_callback
base_model: hfl/chinese-roberta-wwm-ext
model-index:
  - name: market_positivity
    results: []

market_positivity

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: 0.4959
  • Train Sparse Categorical Accuracy: 0.8060
  • Validation Loss: 0.4484
  • Validation Sparse Categorical Accuracy: 0.8187
  • Epoch: 1

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
0.6595 0.7184 0.5732 0.7479 0
0.4959 0.8060 0.4484 0.8187 1

Framework versions

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