| license: apache-2.0 | |
| tags: | |
| - generated_from_keras_callback | |
| base_model: hfl/chinese-roberta-wwm-ext | |
| model-index: | |
| - name: celera_relevance | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information Keras had access to. You should | |
| probably proofread and complete it, then remove this comment. --> | |
| # celera_relevance | |
| This model is a fine-tuned version of [hfl/chinese-roberta-wwm-ext](https://huggingface.co/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 | |