metadata
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: market_positivity_model
results: []
market_positivity_model
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: 0.4546
- Train Sparse Categorical Accuracy: 0.8132
- Validation Loss: 0.5708
- Validation Sparse Categorical Accuracy: 0.7705
- 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 |
---|---|---|---|---|
0.6264 | 0.7340 | 0.6649 | 0.7134 | 0 |
0.5270 | 0.7727 | 0.5472 | 0.7394 | 1 |
0.4546 | 0.8132 | 0.5708 | 0.7705 | 2 |
Framework versions
- Transformers 4.16.2
- TensorFlow 2.8.0
- Datasets 1.18.3
- Tokenizers 0.10.3