xlm-roberta-base-finetuned-panx-all
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1847
- F1: 0.8453
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 |
|---|---|---|---|---|
| 0.3122 | 1.0 | 835 | 0.2026 | 0.8015 |
| 0.1663 | 2.0 | 1670 | 0.1850 | 0.8334 |
| 0.1114 | 3.0 | 2505 | 0.1847 | 0.8453 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.8.1+cu111
- Datasets 2.9.0
- Tokenizers 0.12.1