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--- |
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license: apache-2.0 |
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base_model: distilgpt2 |
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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/distilgpt2-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/distilgpt2-finetuned-cyber-readme-v2 |
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This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 2.3764 |
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- Validation Loss: 3.0213 |
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- Epoch: 35 |
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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 | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 4.1088 | 3.9258 | 0 | |
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| 3.9271 | 3.7983 | 1 | |
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| 3.7845 | 3.6781 | 2 | |
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| 3.6677 | 3.6006 | 3 | |
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| 3.5681 | 3.5272 | 4 | |
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| 3.4803 | 3.4643 | 5 | |
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| 3.4027 | 3.4068 | 6 | |
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| 3.3316 | 3.3671 | 7 | |
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| 3.2666 | 3.3179 | 8 | |
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| 3.2072 | 3.2817 | 9 | |
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| 3.1517 | 3.2565 | 10 | |
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| 3.1007 | 3.2283 | 11 | |
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| 3.0527 | 3.2051 | 12 | |
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| 3.0079 | 3.1826 | 13 | |
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| 2.9651 | 3.1590 | 14 | |
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| 2.9245 | 3.1529 | 15 | |
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| 2.8862 | 3.1404 | 16 | |
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| 2.8493 | 3.1245 | 17 | |
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| 2.8147 | 3.1075 | 18 | |
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| 2.7814 | 3.1077 | 19 | |
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| 2.7497 | 3.1036 | 20 | |
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| 2.7186 | 3.0859 | 21 | |
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| 2.6890 | 3.0722 | 22 | |
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| 2.6608 | 3.0842 | 23 | |
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| 2.6327 | 3.0561 | 24 | |
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| 2.6060 | 3.0477 | 25 | |
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| 2.5804 | 3.0663 | 26 | |
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| 2.5552 | 3.0479 | 27 | |
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| 2.5310 | 3.0426 | 28 | |
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| 2.5066 | 3.0420 | 29 | |
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| 2.4842 | 3.0671 | 30 | |
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| 2.4613 | 3.0414 | 31 | |
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| 2.4394 | 3.0331 | 32 | |
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| 2.4184 | 3.0449 | 33 | |
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| 2.3973 | 3.0265 | 34 | |
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| 2.3764 | 3.0213 | 35 | |
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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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