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---
license: mit
tags:
- generated_from_trainer
model-index:
- name: kant-gpt2-large
results: []
---
# kant-gpt2-large
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.
It achieves the following results on the evaluation set:
- Loss: 3.4257
## Model description
A large version of gpt2
## Intended uses & limitations
It could be used for the analysis of knowledge representation in and extraction from large language models
## Training and evaluation data
Akademie Ausgabe Immanuel Kant
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.4094 | 1.0 | 11308 | 3.3838 |
| 3.0445 | 2.0 | 22616 | 3.3107 |
| 2.7161 | 3.0 | 33924 | 3.3409 |
| 2.4793 | 4.0 | 45232 | 3.4257 |
### Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
|