metadata
tags:
- generated_from_trainer
model-index:
- name: german-poetry-xlm-roberta
results: []
german-poetry-xlm-roberta
This model is a fine-tuned version of 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