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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: 0.1376
- F1: 0.8582
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: 192
- eval_batch_size: 192
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 66 | 0.1774 | 0.8000 |
| No log | 2.0 | 132 | 0.1565 | 0.8205 |
| No log | 3.0 | 198 | 0.1413 | 0.8452 |
| No log | 4.0 | 264 | 0.1366 | 0.8486 |
| No log | 5.0 | 330 | 0.1399 | 0.8579 |
| No log | 6.0 | 396 | 0.1376 | 0.8582 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1
