---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 22_09_07_walser_blocks_larger_fp16_5ep
  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. -->

# 22_09_07_walser_blocks_larger_fp16_5ep

This model is a fine-tuned version of [stefan-it/german-gpt2-larger](https://huggingface.co/stefan-it/german-gpt2-larger) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.1738
- Accuracy: 0.2760

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.45  | 50   | 5.2435          | 0.1883   |
| No log        | 0.91  | 100  | 4.6670          | 0.2259   |
| No log        | 1.36  | 150  | 4.4367          | 0.2481   |
| No log        | 1.82  | 200  | 4.3258          | 0.2597   |
| 6.175         | 2.27  | 250  | 4.2705          | 0.2648   |
| 6.175         | 2.73  | 300  | 4.2318          | 0.2697   |
| 6.175         | 3.18  | 350  | 4.2090          | 0.2719   |
| 6.175         | 3.64  | 400  | 4.1915          | 0.2740   |
| 6.175         | 4.09  | 450  | 4.1823          | 0.2746   |
| 3.9191        | 4.55  | 500  | 4.1761          | 0.2757   |
| 3.9191        | 5.0   | 550  | 4.1738          | 0.2760   |


### Framework versions

- Transformers 4.22.0.dev0
- Pytorch 1.11.0.post202
- Datasets 2.3.2
- Tokenizers 0.12.1