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: 0.1354
- F1: 0.8621
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 |
|---|---|---|---|---|
| 0.254 | 1.0 | 525 | 0.1652 | 0.8254 |
| 0.1293 | 2.0 | 1050 | 0.1431 | 0.8489 |
| 0.0797 | 3.0 | 1575 | 0.1354 | 0.8621 |
Framework versions
- Transformers 4.16.2
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.11.0
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Dataset used to train MhF/xlm-roberta-base-finetuned-panx-de
Evaluation results
- F1 on xtremeself-reported0.862