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xlm-roberta-base-finetuned-panx-hi
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: 0.5351
- F1: 0.8699
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.843 | 1.0 | 86 | 0.3921 | 0.7206 |
| 0.3751 | 2.0 | 172 | 0.3292 | 0.7381 |
| 0.2437 | 3.0 | 258 | 0.3049 | 0.8255 |
| 0.1963 | 4.0 | 344 | 0.2865 | 0.8255 |
| 0.1519 | 5.0 | 430 | 0.3165 | 0.8422 |
| 0.1332 | 6.0 | 516 | 0.3019 | 0.8433 |
| 0.0748 | 7.0 | 602 | 0.3290 | 0.8474 |
| 0.0703 | 8.0 | 688 | 0.3825 | 0.8517 |
| 0.0611 | 9.0 | 774 | 0.4575 | 0.8518 |
| 0.0484 | 10.0 | 860 | 0.4409 | 0.8481 |
| 0.0345 | 11.0 | 946 | 0.4221 | 0.8597 |
| 0.0242 | 12.0 | 1032 | 0.4673 | 0.8682 |
| 0.0178 | 13.0 | 1118 | 0.4826 | 0.8671 |
| 0.0129 | 14.0 | 1204 | 0.5174 | 0.8443 |
| 0.0139 | 15.0 | 1290 | 0.5028 | 0.8608 |
| 0.0063 | 16.0 | 1376 | 0.5224 | 0.8648 |
| 0.0027 | 17.0 | 1462 | 0.5260 | 0.8682 |
| 0.0036 | 18.0 | 1548 | 0.5301 | 0.8702 |
| 0.0028 | 19.0 | 1634 | 0.5372 | 0.8741 |
| 0.0038 | 20.0 | 1720 | 0.5351 | 0.8699 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
