File size: 1,789 Bytes
f652216 0c2ee5a f652216 0c2ee5a f652216 0c2ee5a f652216 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 |
---
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: 2.5718
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.959 | 1.0 | 930 | 1.3259 |
| 1.4632 | 2.0 | 1860 | 1.2816 |
| 0.954 | 3.0 | 2790 | 1.4692 |
| 0.6371 | 4.0 | 3720 | 1.6610 |
| 0.4482 | 5.0 | 4650 | 1.8121 |
| 0.3169 | 6.0 | 5580 | 1.9942 |
| 0.2021 | 7.0 | 6510 | 2.2969 |
| 0.147 | 8.0 | 7440 | 2.4245 |
| 0.1132 | 9.0 | 8370 | 2.5011 |
| 0.0858 | 10.0 | 9300 | 2.5718 |
### Framework versions
- Transformers 4.27.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
|