xlm-roberta-base-finetuned-panx-en
This model is a fine-tuned version of MunSu/xlm-roberta-base-finetuned-panx-de on the xtreme dataset. It achieves the following results on the evaluation set:
- Loss: 0.4148
- F1: 0.7655
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: 8
- 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 |
|---|---|---|---|---|
| No log | 1.0 | 148 | 0.3936 | 0.7289 |
| No log | 2.0 | 296 | 0.3534 | 0.7607 |
| No log | 3.0 | 444 | 0.4148 | 0.7655 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.8.0
- Datasets 2.9.0
- Tokenizers 0.13.2