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xlm-roberta-base-finetuned-marc
This model is a fine-tuned version of xlm-roberta-base on the dutch_social dataset. It achieves the following results on the evaluation set:
- Loss: 0.1992
- Mae: 0.0532
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: 2e-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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Mae |
|---|---|---|---|---|
| 0.2824 | 1.0 | 10176 | 0.2370 | 0.0748 |
| 0.1809 | 2.0 | 20352 | 0.1992 | 0.0532 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
