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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: 0.4990
- F1: 0.7093
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.8727 | 1.0 | 295 | 0.5063 | 0.6186 |
| 0.4633 | 2.0 | 590 | 0.5089 | 0.6561 |
| 0.3075 | 3.0 | 885 | 0.4990 | 0.7093 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.7.1
- Datasets 1.18.4
- Tokenizers 0.13.2
