---
license: mit
tags:
- generated_from_trainer
model-index:
- name: kant-gpt2-large
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# kant-gpt2-large

This model is a fine-tuned version of [benjamin/gerpt2-large](https://huggingface.co/benjamin/gerpt2-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.2487

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## 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: 8

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.5332        | 1.0   | 11347 | 3.5015          |
| 3.1448        | 2.0   | 22694 | 3.4149          |
| 2.8081        | 3.0   | 34041 | 3.4495          |
| 2.4535        | 4.0   | 45388 | 3.5714          |
| 2.1844        | 5.0   | 56735 | 3.7579          |
| 1.9625        | 6.0   | 68082 | 3.9492          |
| 1.7585        | 7.0   | 79429 | 4.1280          |
| 1.6407        | 8.0   | 90776 | 4.2487          |


### Framework versions

- Transformers 4.19.4
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1