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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-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-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: 4.3038
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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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- gradient_accumulation_steps: 2
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- total_train_batch_size: 128
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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: 9
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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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| 6.5574 | 0.53 | 500 | 5.4160 |
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| 5.0689 | 1.07 | 1000 | 4.9377 |
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| 4.6601 | 1.6 | 1500 | 4.6589 |
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| 4.3967 | 2.14 | 2000 | 4.4999 |
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| 4.1846 | 2.67 | 2500 | 4.3930 |
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| 4.0257 | 3.21 | 3000 | 4.3408 |
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| 3.8965 | 3.74 | 3500 | 4.2798 |
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| 3.7483 | 4.27 | 4000 | 4.2719 |
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| 3.6522 | 4.81 | 4500 | 4.2338 |
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| 3.4715 | 5.34 | 5000 | 4.2545 |
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| 3.4106 | 5.88 | 5500 | 4.2303 |
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| 3.2009 | 6.41 | 6000 | 4.2659 |
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| 3.1644 | 6.94 | 6500 | 4.2559 |
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| 2.9753 | 7.48 | 7000 | 4.2917 |
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| 2.9548 | 8.01 | 7500 | 4.2926 |
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| 2.846 | 8.55 | 8000 | 4.3038 |
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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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