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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: 1.5981 |
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- Validation Loss: 4.5991 |
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- Epoch: 42 |
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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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| 2.5262 | 3.9897 | 11 | |
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| 2.5002 | 4.0219 | 12 | |
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| 2.4636 | 4.0540 | 13 | |
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| 2.4327 | 4.0224 | 14 | |
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| 2.3945 | 4.0364 | 15 | |
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| 2.3661 | 4.0640 | 16 | |
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| 2.3319 | 4.0636 | 17 | |
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| 2.2992 | 4.0996 | 18 | |
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| 2.2712 | 4.0886 | 19 | |
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| 2.2377 | 4.1483 | 20 | |
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| 2.2054 | 4.1594 | 21 | |
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| 2.1658 | 4.1989 | 22 | |
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| 2.1444 | 4.1348 | 23 | |
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| 2.1129 | 4.1489 | 24 | |
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| 2.0953 | 4.2259 | 25 | |
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| 2.0546 | 4.2353 | 26 | |
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| 2.0281 | 4.3147 | 27 | |
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| 1.9927 | 4.2586 | 28 | |
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| 1.9698 | 4.3254 | 29 | |
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| 1.9373 | 4.3288 | 30 | |
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| 1.9159 | 4.3262 | 31 | |
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| 1.8750 | 4.3550 | 32 | |
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| 1.8480 | 4.3697 | 33 | |
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| 1.8215 | 4.4233 | 34 | |
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| 1.7874 | 4.4876 | 35 | |
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| 1.7685 | 4.5072 | 36 | |
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| 1.7433 | 4.4617 | 37 | |
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| 1.7085 | 4.5331 | 38 | |
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| 1.6839 | 4.5724 | 39 | |
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| 1.6643 | 4.5819 | 40 | |
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| 1.6224 | 4.6558 | 41 | |
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| 1.5981 | 4.5991 | 42 | |
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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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