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: 0.1375
- F1: 0.8615
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 525 | 0.1795 | 0.8092 |
| No log | 2.0 | 1050 | 0.1360 | 0.8490 |
| No log | 3.0 | 1575 | 0.1375 | 0.8615 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.13.0.dev20220808
- Datasets 2.4.0
- Tokenizers 0.12.1
- Downloads last month
- 15
Dataset used to train miguelwon/xlm-roberta-base-finetuned-panx-de
Evaluation results
- F1 on xtremeself-reported0.862