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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-guten-rarity-iroder-est-rarity-all-5k-2p5k
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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-guten-rarity-iroder-est-rarity-all-5k-2p5k
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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: 3.1825
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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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| 6.7149 | 0.3 | 500 | 5.6379 |
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| 5.3626 | 0.59 | 1000 | 5.2053 |
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| 5.0103 | 0.89 | 1500 | 4.9561 |
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| 4.7374 | 1.18 | 2000 | 4.8042 |
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| 4.5794 | 1.48 | 2500 | 4.6786 |
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| 4.4756 | 1.77 | 3000 | 4.5728 |
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| 4.3345 | 2.07 | 3500 | 4.4966 |
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| 4.1538 | 2.36 | 4000 | 4.4468 |
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| 4.1275 | 2.66 | 4500 | 4.3875 |
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| 4.0815 | 2.95 | 5000 | 4.3316 |
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| 3.8534 | 3.25 | 5500 | 4.3293 |
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| 3.8151 | 3.54 | 6000 | 4.2939 |
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| 3.8069 | 3.84 | 6500 | 4.2572 |
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| 3.6706 | 4.13 | 7000 | 4.2627 |
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| 3.5322 | 4.43 | 7500 | 4.2534 |
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| 3.5274 | 4.73 | 8000 | 4.2397 |
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| 3.4978 | 5.02 | 8500 | 4.2343 |
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| 3.3402 | 5.32 | 9000 | 4.2407 |
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| 3.3342 | 5.61 | 9500 | 4.2388 |
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| 3.3308 | 5.91 | 10000 | 4.2382 |
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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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