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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: MariaZafar/distilgpt2-finetuned-wikitext2 |
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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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# MariaZafar/distilgpt2-finetuned-wikitext2 |
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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: 0.0603 |
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- Validation Loss: 5.5023 |
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- Epoch: 49 |
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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': 0.001, '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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| 3.4903 | 2.4602 | 0 | |
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| 2.5910 | 2.5912 | 1 | |
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| 2.1133 | 2.8207 | 2 | |
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| 1.5857 | 3.1597 | 3 | |
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| 1.0852 | 3.3317 | 4 | |
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| 0.6812 | 3.6312 | 5 | |
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| 0.4490 | 3.8533 | 6 | |
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| 0.3188 | 4.0209 | 7 | |
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| 0.2401 | 4.1932 | 8 | |
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| 0.1987 | 4.3469 | 9 | |
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| 0.1705 | 4.4238 | 10 | |
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| 0.1515 | 4.5274 | 11 | |
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| 0.1329 | 4.5066 | 12 | |
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| 0.1302 | 4.6625 | 13 | |
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| 0.1202 | 4.6441 | 14 | |
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| 0.1133 | 4.7448 | 15 | |
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| 0.1076 | 4.8144 | 16 | |
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| 0.1025 | 4.9662 | 17 | |
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| 0.0976 | 4.7328 | 18 | |
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| 0.0928 | 4.8394 | 19 | |
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| 0.0862 | 4.8873 | 20 | |
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| 0.0824 | 4.9153 | 21 | |
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| 0.0869 | 5.2097 | 22 | |
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| 0.0847 | 5.1124 | 23 | |
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| 0.0824 | 5.0528 | 24 | |
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| 0.0826 | 5.0547 | 25 | |
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| 0.0840 | 5.1079 | 26 | |
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| 0.0846 | 4.9867 | 27 | |
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| 0.0802 | 4.9700 | 28 | |
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| 0.0806 | 5.2266 | 29 | |
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| 0.0827 | 5.0909 | 30 | |
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| 0.0784 | 5.2329 | 31 | |
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| 0.0744 | 5.0834 | 32 | |
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| 0.0712 | 5.3750 | 33 | |
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| 0.0715 | 5.2754 | 34 | |
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| 0.0695 | 5.4315 | 35 | |
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| 0.0703 | 5.4119 | 36 | |
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| 0.0732 | 5.5824 | 37 | |
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| 0.0679 | 5.4020 | 38 | |
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| 0.0627 | 5.7249 | 39 | |
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| 0.0659 | 5.1686 | 40 | |
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| 0.0656 | 5.2962 | 41 | |
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| 0.0642 | 5.3573 | 42 | |
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| 0.0661 | 5.4822 | 43 | |
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| 0.0643 | 5.6516 | 44 | |
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| 0.0612 | 5.6201 | 45 | |
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| 0.0666 | 5.4791 | 46 | |
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| 0.0677 | 5.6865 | 47 | |
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| 0.0628 | 5.4184 | 48 | |
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| 0.0603 | 5.5023 | 49 | |
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### Framework versions |
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- Transformers 4.19.2 |
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- TensorFlow 2.8.0 |
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- Datasets 2.2.1 |
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- Tokenizers 0.12.1 |
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