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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: guten-2p5k-new-loop-tokenize
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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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# guten-2p5k-new-loop-tokenize
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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: 4.3833
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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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| 6.721 | 0.31 | 500 | 5.7074 |
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| 5.3696 | 0.63 | 1000 | 5.2582 |
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| 5.0072 | 0.94 | 1500 | 5.0135 |
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| 4.7225 | 1.26 | 2000 | 4.8583 |
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| 4.5837 | 1.57 | 2500 | 4.7320 |
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| 4.4669 | 1.89 | 3000 | 4.6175 |
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| 4.2663 | 2.2 | 3500 | 4.5607 |
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| 4.1693 | 2.51 | 4000 | 4.4896 |
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| 4.1248 | 2.83 | 4500 | 4.4286 |
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| 3.976 | 3.14 | 5000 | 4.4119 |
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| 3.8481 | 3.46 | 5500 | 4.3787 |
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| 3.8327 | 3.77 | 6000 | 4.3406 |
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| 3.7401 | 4.09 | 6500 | 4.3356 |
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| 3.5641 | 4.4 | 7000 | 4.3274 |
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| 3.5468 | 4.71 | 7500 | 4.3126 |
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| 3.5201 | 5.03 | 8000 | 4.3081 |
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| 3.3625 | 5.34 | 8500 | 4.3132 |
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| 3.3604 | 5.66 | 9000 | 4.3114 |
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| 3.36 | 5.97 | 9500 | 4.3106 |
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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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