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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-2
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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-2
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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: 4.6978
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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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| 6.7438 | 0.28 | 500 | 5.8628 |
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| 5.3832 | 0.57 | 1000 | 5.4721 |
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| 5.0548 | 0.85 | 1500 | 5.2463 |
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| 4.7966 | 1.14 | 2000 | 5.0887 |
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| 4.6482 | 1.42 | 2500 | 4.9869 |
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| 4.5475 | 1.7 | 3000 | 4.9166 |
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| 4.4753 | 1.99 | 3500 | 4.8238 |
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| 4.2612 | 2.27 | 4000 | 4.8195 |
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| 4.2415 | 2.56 | 4500 | 4.7798 |
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| 4.2024 | 2.84 | 5000 | 4.7139 |
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| 4.0709 | 3.12 | 5500 | 4.7122 |
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| 3.9548 | 3.41 | 6000 | 4.7128 |
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| 3.9485 | 3.69 | 6500 | 4.6607 |
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| 3.9265 | 3.98 | 7000 | 4.6461 |
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| 3.687 | 4.26 | 7500 | 4.6674 |
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| 3.6784 | 4.54 | 8000 | 4.6577 |
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| 3.6665 | 4.83 | 8500 | 4.6403 |
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| 3.5603 | 5.11 | 9000 | 4.6735 |
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| 3.4226 | 5.39 | 9500 | 4.6843 |
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| 3.4158 | 5.68 | 10000 | 4.6834 |
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| 3.4077 | 5.96 | 10500 | 4.6679 |
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| 3.2813 | 6.25 | 11000 | 4.6955 |
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| 3.2684 | 6.53 | 11500 | 4.6982 |
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| 3.2599 | 6.81 | 12000 | 4.6978 |
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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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