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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: albert/albert-base-v2 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: classiv1_albert_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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# classiv1_albert_model |
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This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/albert-base-v2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.1577 |
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- Train Accuracy: 0.9334 |
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- Validation Loss: 0.2818 |
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- Validation Accuracy: 0.8990 |
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- Epoch: 3 |
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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': np.float32(3e-05), '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 Accuracy | Validation Loss | Validation Accuracy | Epoch | |
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|:----------:|:--------------:|:---------------:|:-------------------:|:-----:| |
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| 0.9344 | 0.6647 | 0.4468 | 0.8440 | 0 | |
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| 0.2788 | 0.9076 | 0.2503 | 0.9170 | 1 | |
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| 0.1689 | 0.9293 | 0.2698 | 0.9110 | 2 | |
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| 0.1577 | 0.9334 | 0.2818 | 0.8990 | 3 | |
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### Framework versions |
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- Transformers 4.52.4 |
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- TensorFlow 2.19.0 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.1 |
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