55 lines
1.2 KiB
Markdown
55 lines
1.2 KiB
Markdown
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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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model-index:
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- name: german-poetry-gpt2
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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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# german-poetry-gpt2
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This model is a fine-tuned version of [dbmdz/german-gpt2](https://huggingface.co/dbmdz/german-gpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 3.8196
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- eval_runtime: 43.8543
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- eval_samples_per_second: 86.993
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- eval_steps_per_second: 5.45
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- epoch: 9.0
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- step: 11520
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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: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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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: linear
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- lr_scheduler_warmup_steps: 500
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- num_epochs: 22
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### Framework versions
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- Transformers 4.19.2
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- Pytorch 1.11.0+cu113
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- Tokenizers 0.12.1
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