|
--- |
|
license: mit |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- germanquad |
|
model-index: |
|
- name: bert-base-german-cased-finetuned-squad |
|
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. --> |
|
|
|
# bert-base-german-cased-finetuned-squad |
|
|
|
This model is a fine-tuned version of [bert-base-german-cased](https://huggingface.co/bert-base-german-cased) on the germanquad dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.6468 |
|
|
|
## 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: 2e-05 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| No log | 1.0 | 180 | 1.9940 | |
|
| No log | 2.0 | 360 | 1.7339 | |
|
| 2.5168 | 3.0 | 540 | 1.8300 | |
|
| 2.5168 | 4.0 | 720 | 1.9861 | |
|
| 2.5168 | 5.0 | 900 | 2.1922 | |
|
| 0.6891 | 6.0 | 1080 | 2.3542 | |
|
| 0.6891 | 7.0 | 1260 | 2.4410 | |
|
| 0.6891 | 8.0 | 1440 | 2.5836 | |
|
| 0.2347 | 9.0 | 1620 | 2.6020 | |
|
| 0.2347 | 10.0 | 1800 | 2.6468 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.27.2 |
|
- Pytorch 1.13.1+cu116 |
|
- Datasets 2.10.1 |
|
- Tokenizers 0.13.2 |
|
|
