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--- |
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license: mit |
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base_model: xlnet-base-cased |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: svenbl80/xlnet-base-cased-finetuned-mnli |
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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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# svenbl80/xlnet-base-cased-finetuned-mnli |
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This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co./xlnet-base-cased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.0221 |
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- Validation Loss: 0.7391 |
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- Train Accuracy: 0.8677 |
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- Epoch: 9 |
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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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 245430, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, '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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| 0.4828 | 0.4066 | 0.8426 | 0 | |
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| 0.3364 | 0.3842 | 0.8598 | 1 | |
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| 0.2419 | 0.3913 | 0.8672 | 2 | |
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| 0.1713 | 0.4653 | 0.8624 | 3 | |
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| 0.1212 | 0.5090 | 0.8625 | 4 | |
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| 0.0857 | 0.5733 | 0.8684 | 5 | |
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| 0.0620 | 0.6176 | 0.8635 | 6 | |
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| 0.0435 | 0.6781 | 0.8670 | 7 | |
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| 0.0309 | 0.7102 | 0.8668 | 8 | |
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| 0.0221 | 0.7391 | 0.8677 | 9 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- TensorFlow 2.9.1 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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