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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_keras_callback |
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base_model: hfl/chinese-roberta-wwm-ext |
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model-index: |
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- name: market_positivity_model |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# market_positivity_model |
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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. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.5776 |
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- Train Sparse Categorical Accuracy: 0.7278 |
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- Validation Loss: 0.6460 |
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- Validation Sparse Categorical Accuracy: 0.6859 |
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- Epoch: 2 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- optimizer: {'name': 'Adam', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch | |
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|:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:| |
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| 0.7207 | 0.6394 | 0.6930 | 0.6811 | 0 | |
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| 0.6253 | 0.7033 | 0.6549 | 0.6872 | 1 | |
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| 0.5776 | 0.7278 | 0.6460 | 0.6859 | 2 | |
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### Framework versions |
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- Transformers 4.16.2 |
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- TensorFlow 2.8.0 |
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- Datasets 1.18.3 |
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- Tokenizers 0.11.0 |
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