Andreas Jörg
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update model card README.md
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README.md
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@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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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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- Loss:
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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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| 2.1844 | 5.0 | 56735 | 3.7579 |
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| 1.9625 | 6.0 | 68082 | 3.9492 |
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| 1.7585 | 7.0 | 79429 | 4.1280 |
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| 1.6407 | 8.0 | 90776 | 4.2487 |
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### Framework versions
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- Transformers 4.
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- Pytorch 1.11.0+cu113
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- Datasets 2.3.2
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- Tokenizers 0.12.1
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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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- Loss: 3.4257
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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: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 3.4094 | 1.0 | 11308 | 3.3838 |
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| 3.0445 | 2.0 | 22616 | 3.3107 |
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| 2.7161 | 3.0 | 33924 | 3.3409 |
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| 2.4793 | 4.0 | 45232 | 3.4257 |
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### Framework versions
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- Transformers 4.20.1
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- Pytorch 1.11.0+cu113
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- Datasets 2.3.2
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- Tokenizers 0.12.1
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