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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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# kant-gpt2-large |
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This model is a fine-tuned version of [benjamin/gerpt2-large](https://huggingface.co/benjamin/gerpt2-large). It was trained on the "Akademie Ausgabe" of the works of Immanuel Kant. |
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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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A large version of gpt2 |
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## Intended uses & limitations |
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It could be used for the analysis of knowledge representation in and extraction from large language models |
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## Training and evaluation data |
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Akademie Ausgabe Immanuel Kant |
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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: 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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