Andreas Jörg
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update model card README.md
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README.md
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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: kant-gpt2-large
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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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# kant-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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- Loss: 4.2487
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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: 2
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- eval_batch_size: 2
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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: 8
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 3.5332 | 1.0 | 11347 | 3.5015 |
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| 3.1448 | 2.0 | 22694 | 3.4149 |
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| 2.8081 | 3.0 | 34041 | 3.4495 |
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| 2.4535 | 4.0 | 45388 | 3.5714 |
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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 4.19.4
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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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