|
--- |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: german-poetry-xlm-roberta |
|
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. --> |
|
|
|
# german-poetry-xlm-roberta |
|
|
|
This model is a fine-tuned version of [xlm-roberta-large-finetuned-conll03-german](https://huggingface.co/xlm-roberta-large-finetuned-conll03-german) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.8672 |
|
|
|
## 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: 32 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 15 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:-----:|:---------------:| |
|
| 3.1984 | 1.0 | 2774 | 2.8507 | |
|
| 2.7279 | 2.0 | 5548 | 2.5140 | |
|
| 2.5236 | 3.0 | 8322 | 2.3583 | |
|
| 2.4115 | 4.0 | 11096 | 2.2371 | |
|
| 2.2953 | 5.0 | 13870 | 2.1773 | |
|
| 2.2179 | 6.0 | 16644 | 2.1217 | |
|
| 2.1652 | 7.0 | 19418 | 2.0483 | |
|
| 2.1023 | 8.0 | 22192 | 2.0003 | |
|
| 2.0532 | 9.0 | 24966 | 1.9961 | |
|
| 2.0153 | 10.0 | 27740 | 1.9626 | |
|
| 1.9657 | 11.0 | 30514 | 1.9310 | |
|
| 1.9456 | 12.0 | 33288 | 1.9065 | |
|
| 1.919 | 13.0 | 36062 | 1.8906 | |
|
| 1.9077 | 14.0 | 38836 | 1.8712 | |
|
| 1.9048 | 15.0 | 41610 | 1.8672 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.25.1 |
|
- Pytorch 1.13.0+cu116 |
|
- Datasets 2.8.0 |
|
- Tokenizers 0.13.2 |
|
|
