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README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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datasets:
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- generator
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model-index:
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- name: gpt2-dp-cl-length
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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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# gpt2-dp-cl-length
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.7161
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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: 0.0005
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- train_batch_size: 64
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- eval_batch_size: 64
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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: cosine
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- lr_scheduler_warmup_steps: 1000
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- num_epochs: 7
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 6.6691 | 0.26 | 500 | 5.8270 |
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| 5.2775 | 0.53 | 1000 | 5.4588 |
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| 4.9444 | 0.79 | 1500 | 5.2410 |
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| 4.7094 | 1.05 | 2000 | 5.1417 |
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| 4.5245 | 1.31 | 2500 | 4.9932 |
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| 4.4306 | 1.58 | 3000 | 4.9406 |
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| 4.3594 | 1.84 | 3500 | 4.9073 |
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| 4.2194 | 2.1 | 4000 | 4.8631 |
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| 4.0996 | 2.36 | 4500 | 4.8316 |
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| 4.0865 | 2.63 | 5000 | 4.7686 |
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| 4.05 | 2.89 | 5500 | 4.7494 |
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| 3.8858 | 3.15 | 6000 | 4.7704 |
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| 3.814 | 3.42 | 6500 | 4.6998 |
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| 3.8032 | 3.68 | 7000 | 4.6793 |
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| 3.7885 | 3.94 | 7500 | 4.6676 |
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| 3.5761 | 4.2 | 8000 | 4.6765 |
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| 3.5336 | 4.47 | 8500 | 4.6792 |
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| 3.535 | 4.73 | 9000 | 4.6749 |
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| 3.5307 | 4.99 | 9500 | 4.6553 |
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| 3.2929 | 5.25 | 10000 | 4.7027 |
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| 3.2874 | 5.52 | 10500 | 4.6926 |
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| 3.2883 | 5.78 | 11000 | 4.6927 |
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| 3.2606 | 6.04 | 11500 | 4.7025 |
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| 3.1356 | 6.31 | 12000 | 4.7098 |
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| 3.1392 | 6.57 | 12500 | 4.7123 |
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| 3.1374 | 6.83 | 13000 | 4.7161 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 1.11.0+cu113
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- Datasets 2.13.0
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- Tokenizers 0.13.3
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