xlm-roberta-base-finetuned-panx-de
This model is a fine-tuned version of xlm-roberta-base on the xtreme dataset. It achieves the following results on the evaluation set:
- Loss: 0.1405
- F1: 0.8655
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: 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.2495 | 1.0 | 787 | 0.1764 | 0.8184 |
| 0.1299 | 2.0 | 1574 | 0.1427 | 0.8562 |
| 0.0771 | 3.0 | 2361 | 0.1405 | 0.8655 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2
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Dataset used to train cykim/xlm-roberta-base-finetuned-panx-de
Evaluation results
- F1 on xtremevalidation set self-reported0.865