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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: all-base-miss-wikipedia-seed
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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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# all-base-miss-wikipedia-seed
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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: 4.2034
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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: 6
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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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| 6.2135 | 0.32 | 500 | 5.3711 |
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| 4.8943 | 0.64 | 1000 | 4.9556 |
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| 4.5853 | 0.97 | 1500 | 4.7291 |
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| 4.3145 | 1.29 | 2000 | 4.5936 |
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| 4.194 | 1.61 | 2500 | 4.4733 |
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| 4.092 | 1.93 | 3000 | 4.3689 |
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| 3.8879 | 2.26 | 3500 | 4.3218 |
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| 3.832 | 2.58 | 4000 | 4.2572 |
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| 3.788 | 2.9 | 4500 | 4.1919 |
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| 3.6023 | 3.22 | 5000 | 4.1896 |
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| 3.5435 | 3.54 | 5500 | 4.1565 |
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| 3.5215 | 3.87 | 6000 | 4.1203 |
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| 3.3703 | 4.19 | 6500 | 4.1263 |
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| 3.2774 | 4.51 | 7000 | 4.1145 |
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| 3.264 | 4.83 | 7500 | 4.1009 |
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| 3.1767 | 5.15 | 8000 | 4.1080 |
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| 3.0922 | 5.48 | 8500 | 4.1086 |
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| 3.0931 | 5.8 | 9000 | 4.1067 |
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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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