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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-concat-simple-wiki-mod
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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-concat-simple-wiki-mod
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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: 4.3273
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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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| 6.6721 | 0.29 | 500 | 5.6311 |
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| 5.3162 | 0.59 | 1000 | 5.2012 |
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| 4.9814 | 0.88 | 1500 | 4.9493 |
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| 4.708 | 1.17 | 2000 | 4.8102 |
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| 4.5523 | 1.47 | 2500 | 4.6918 |
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| 4.4524 | 1.76 | 3000 | 4.5941 |
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| 4.3303 | 2.06 | 3500 | 4.5209 |
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| 4.1432 | 2.35 | 4000 | 4.4726 |
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| 4.1182 | 2.64 | 4500 | 4.4154 |
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| 4.0753 | 2.94 | 5000 | 4.3598 |
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| 3.8614 | 3.23 | 5500 | 4.3514 |
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| 3.8147 | 3.52 | 6000 | 4.3176 |
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| 3.7996 | 3.82 | 6500 | 4.2839 |
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| 3.6896 | 4.11 | 7000 | 4.2834 |
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| 3.5307 | 4.4 | 7500 | 4.2783 |
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| 3.5227 | 4.7 | 8000 | 4.2595 |
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| 3.5108 | 4.99 | 8500 | 4.2484 |
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| 3.3413 | 5.28 | 9000 | 4.2624 |
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| 3.3338 | 5.58 | 9500 | 4.2605 |
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| 3.3305 | 5.87 | 10000 | 4.2597 |
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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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