Andreas Jörg
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update model card README.md
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README.md
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# german-poetry-gpt2-large
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This model is a fine-tuned version of [benjamin/gerpt2-large](https://huggingface.co/benjamin/gerpt2-large) on
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It achieves the following results on the evaluation set:
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| 3.6511 | 1.0 | 20592 | 3.6164 |
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| 3.2974 | 2.0 | 41184 | 3.5282 |
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| 2.9307 | 3.0 | 61776 | 3.5443 |
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| 2.6412 | 4.0 | 82368 | 3.6337 |
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| 2.275 | 5.0 | 102960 | 3.7956 |
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| 2.0971 | 6.0 | 123552 | 3.8927 |
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| 1.8885 | 7.0 | 144144 | 4.0685 |
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| 1.775 | 8.0 | 164736 | 4.1467 |
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### Framework versions
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- Transformers 4.19.4
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- Pytorch 1.11.0+cu113
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- Tokenizers 0.12.1
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# german-poetry-gpt2-large
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This model is a fine-tuned version of [benjamin/gerpt2-large](https://huggingface.co/benjamin/gerpt2-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 3.5753
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- eval_runtime: 100.7173
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- eval_samples_per_second: 51.6
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- eval_steps_per_second: 25.805
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- epoch: 4.0
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- step: 95544
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- num_epochs: 6
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### Framework versions
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- Transformers 4.19.4
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- Pytorch 1.11.0+cu113
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- Datasets 2.3.0
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- Tokenizers 0.12.1
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