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--- |
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license: apache-2.0 |
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base_model: distilroberta-base |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: pippinnie/distilroberta-base-finetuned-cyber-readme-v2 |
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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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# pippinnie/distilroberta-base-finetuned-cyber-readme-v2 |
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 2.6160 |
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- Train Accuracy: 0.0831 |
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- Validation Loss: 2.2778 |
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- Validation Accuracy: 0.0909 |
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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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01} |
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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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| 2.9763 | 0.0766 | 2.5856 | 0.0839 | 0 | |
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| 2.8159 | 0.0795 | 2.4501 | 0.0871 | 1 | |
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| 2.7022 | 0.0816 | 2.3638 | 0.0892 | 2 | |
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| 2.6160 | 0.0831 | 2.2778 | 0.0909 | 3 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- TensorFlow 2.16.1 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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