xlm-roberta-base-finetuned-panx-de
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1619
- F1: 0.8800
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: 6
Training results
Training Loss | Epoch | Step | Validation Loss | F1 |
---|---|---|---|---|
0.2666 | 1.0 | 525 | 0.1756 | 0.8109 |
0.1307 | 2.0 | 1050 | 0.1401 | 0.8509 |
0.0892 | 3.0 | 1575 | 0.1319 | 0.8620 |
0.0588 | 4.0 | 2100 | 0.1489 | 0.8683 |
0.0393 | 5.0 | 2625 | 0.1539 | 0.8754 |
0.0255 | 6.0 | 3150 | 0.1619 | 0.8800 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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