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--- |
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base_model: bert-base-chinese |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: AIYIYA/my_1 |
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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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# AIYIYA/my_1 |
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This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 1.1600 |
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- Validation Loss: 1.4880 |
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- Train Accuracy: 0.7195 |
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- Epoch: 7 |
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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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 300, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Train Accuracy | Epoch | |
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|:----------:|:---------------:|:--------------:|:-----:| |
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| 3.3536 | 3.0356 | 0.2195 | 0 | |
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| 2.8571 | 2.6364 | 0.3902 | 1 | |
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| 2.4461 | 2.2839 | 0.4634 | 2 | |
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| 2.0491 | 2.0340 | 0.5122 | 3 | |
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| 1.7890 | 1.7980 | 0.6463 | 4 | |
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| 1.5356 | 1.6520 | 0.6951 | 5 | |
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| 1.3215 | 1.5640 | 0.7195 | 6 | |
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| 1.1600 | 1.4880 | 0.7195 | 7 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- TensorFlow 2.12.0 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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