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--- |
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license: mit |
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base_model: microsoft/deberta-v3-small |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: ai-detector-deberta |
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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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# ai-detector-deberta |
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This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.0031 |
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- Train Accuracy: 0.9994 |
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- Validation Loss: 0.0242 |
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- Validation Accuracy: 0.9924 |
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- Train Lr: 1e-07 |
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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': 'RMSprop', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': 100, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 1e-07, 'rho': 0.9, 'momentum': 0.0, 'epsilon': 1e-07, 'centered': 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 | Train Lr | Epoch | |
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|:----------:|:--------------:|:---------------:|:-------------------:|:--------:|:-----:| |
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| 0.0707 | 0.9694 | 0.0260 | 0.9903 | 1e-05 | 0 | |
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| 0.0032 | 0.9993 | 0.0383 | 0.9882 | 1e-06 | 1 | |
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| 0.0031 | 0.9994 | 0.0242 | 0.9924 | 1e-07 | 2 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- TensorFlow 2.15.0 |
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- Tokenizers 0.19.1 |
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