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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: EngTig/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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# EngTig/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: 2.5699 |
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- Validation Loss: 3.9660 |
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- Epoch: 10 |
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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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| 2.9937 | 3.8775 | 0 | |
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| 2.9426 | 3.8763 | 1 | |
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| 2.8926 | 3.8593 | 2 | |
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| 2.8445 | 3.8982 | 3 | |
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| 2.8090 | 3.9044 | 4 | |
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| 2.7511 | 3.9337 | 5 | |
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| 2.7140 | 3.9265 | 6 | |
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| 2.6655 | 3.9483 | 7 | |
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| 2.6443 | 3.9490 | 8 | |
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| 2.6153 | 3.9458 | 9 | |
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| 2.5699 | 3.9660 | 10 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- TensorFlow 2.15.0 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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