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--- |
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license: apache-2.0 |
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base_model: distilbert-base-uncased |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: letingliu/holder_type2 |
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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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# letingliu/holder_type2 |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.4652 |
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- Validation Loss: 0.4554 |
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- Train Accuracy: 0.9333 |
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- Epoch: 19 |
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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': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 35, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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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| 0.6797 | 0.6563 | 0.8583 | 0 | |
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| 0.6380 | 0.5999 | 0.8833 | 1 | |
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| 0.5750 | 0.5293 | 0.9 | 2 | |
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| 0.5168 | 0.4771 | 0.925 | 3 | |
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| 0.4718 | 0.4554 | 0.9333 | 4 | |
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| 0.4703 | 0.4554 | 0.9333 | 5 | |
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| 0.4732 | 0.4554 | 0.9333 | 6 | |
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| 0.4659 | 0.4554 | 0.9333 | 7 | |
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| 0.4621 | 0.4554 | 0.9333 | 8 | |
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| 0.4751 | 0.4554 | 0.9333 | 9 | |
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| 0.4686 | 0.4554 | 0.9333 | 10 | |
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| 0.4647 | 0.4554 | 0.9333 | 11 | |
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| 0.4735 | 0.4554 | 0.9333 | 12 | |
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| 0.4699 | 0.4554 | 0.9333 | 13 | |
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| 0.4719 | 0.4554 | 0.9333 | 14 | |
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| 0.4701 | 0.4554 | 0.9333 | 15 | |
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| 0.4672 | 0.4554 | 0.9333 | 16 | |
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| 0.4561 | 0.4554 | 0.9333 | 17 | |
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| 0.4717 | 0.4554 | 0.9333 | 18 | |
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| 0.4652 | 0.4554 | 0.9333 | 19 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- TensorFlow 2.15.0 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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