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: 0.2858
- F1: 0.8314
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
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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 |
|---|---|---|---|---|
| 0.6195 | 1.0 | 167 | 0.3500 | 0.7652 |
| 0.2742 | 2.0 | 334 | 0.2807 | 0.8098 |
| 0.1754 | 3.0 | 501 | 0.2858 | 0.8314 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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Base model
FacebookAI/xlm-roberta-base