xlm-roberta-base-finetuned-panx-en
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: 0.4236
- F1: 0.6918
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: 8
- 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 |
|---|---|---|---|---|
| 1.103 | 1.0 | 50 | 0.6507 | 0.4812 |
| 0.519 | 2.0 | 100 | 0.4370 | 0.6659 |
| 0.3497 | 3.0 | 150 | 0.4236 | 0.6918 |
Framework versions
- Transformers 4.31.0
- Pytorch 1.12.1.post201
- Datasets 2.14.4
- Tokenizers 0.13.3