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End of training

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README.md ADDED
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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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+
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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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+
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+ # ckt1
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+
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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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