|
--- |
|
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 |
|
|
