xlm-roberta-base-finetuned-panx-de
This model is a fine-tuned version of xlm-roberta-base on the PAN-X dataset. The model is trained in Chapter 4: Multilingual Named Entity Recognition in the NLP with Transformers book. You can find the full code in the accompanying Github repository.
It achieves the following results on the evaluation set:
- Loss: 0.1388
- F1: 0.8646
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: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.2652 | 1.0 | 525 | 0.1602 | 0.8230 |
| 0.1314 | 2.0 | 1050 | 0.1372 | 0.8527 |
| 0.0806 | 3.0 | 1575 | 0.1388 | 0.8646 |
Framework versions
- Transformers 4.12.0.dev0
- Pytorch 1.9.1+cu102
- Datasets 1.12.1
- Tokenizers 0.10.3
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Dataset used to train transformersbook/xlm-roberta-base-finetuned-panx-de
Evaluation results
- F1 on xtremeself-reported0.865