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--- |
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license: apache-2.0 |
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base_model: distilbert/distilgpt2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: ckt1 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# ckt1 |
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This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9517 |
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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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- learning_rate: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 50 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 1 | 1.9943 | |
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| No log | 2.0 | 2 | 1.9329 | |
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| No log | 3.0 | 3 | 1.8768 | |
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| No log | 4.0 | 4 | 1.8236 | |
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| No log | 5.0 | 5 | 1.7748 | |
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| No log | 6.0 | 6 | 1.7300 | |
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| No log | 7.0 | 7 | 1.6890 | |
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| No log | 8.0 | 8 | 1.6514 | |
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| No log | 9.0 | 9 | 1.6152 | |
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| No log | 10.0 | 10 | 1.5820 | |
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| No log | 11.0 | 11 | 1.5501 | |
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| No log | 12.0 | 12 | 1.5189 | |
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| No log | 13.0 | 13 | 1.4888 | |
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| No log | 14.0 | 14 | 1.4590 | |
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| No log | 15.0 | 15 | 1.4322 | |
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| No log | 16.0 | 16 | 1.4058 | |
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| No log | 17.0 | 17 | 1.3810 | |
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| No log | 18.0 | 18 | 1.3556 | |
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| No log | 19.0 | 19 | 1.3308 | |
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| No log | 20.0 | 20 | 1.3066 | |
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| No log | 21.0 | 21 | 1.2823 | |
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| No log | 22.0 | 22 | 1.2586 | |
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| No log | 23.0 | 23 | 1.2353 | |
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| No log | 24.0 | 24 | 1.2135 | |
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| No log | 25.0 | 25 | 1.1919 | |
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| No log | 26.0 | 26 | 1.1719 | |
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| No log | 27.0 | 27 | 1.1529 | |
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| No log | 28.0 | 28 | 1.1349 | |
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| No log | 29.0 | 29 | 1.1180 | |
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| No log | 30.0 | 30 | 1.1012 | |
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| No log | 31.0 | 31 | 1.0854 | |
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| No log | 32.0 | 32 | 1.0700 | |
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| No log | 33.0 | 33 | 1.0561 | |
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| No log | 34.0 | 34 | 1.0429 | |
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| No log | 35.0 | 35 | 1.0313 | |
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| No log | 36.0 | 36 | 1.0208 | |
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| No log | 37.0 | 37 | 1.0112 | |
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| No log | 38.0 | 38 | 1.0024 | |
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| No log | 39.0 | 39 | 0.9942 | |
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| No log | 40.0 | 40 | 0.9869 | |
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| No log | 41.0 | 41 | 0.9804 | |
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| No log | 42.0 | 42 | 0.9745 | |
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| No log | 43.0 | 43 | 0.9694 | |
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| No log | 44.0 | 44 | 0.9649 | |
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| No log | 45.0 | 45 | 0.9611 | |
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| No log | 46.0 | 46 | 0.9580 | |
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| No log | 47.0 | 47 | 0.9555 | |
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| No log | 48.0 | 48 | 0.9536 | |
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| No log | 49.0 | 49 | 0.9523 | |
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| No log | 50.0 | 50 | 0.9517 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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