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: 0.3214
- F1: 0.7769
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 |
|---|---|---|---|---|
| 0.6328 | 1.0 | 191 | 0.3914 | 0.7191 |
| 0.3245 | 2.0 | 382 | 0.3215 | 0.7574 |
| 0.2343 | 3.0 | 573 | 0.3214 | 0.7769 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.8.1+cu111
- Datasets 2.9.0
- Tokenizers 0.12.1