xlm-roberta-base-finetuned-panx-it
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: 0.2376
- F1: 0.8189
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 |
|---|---|---|---|---|
| 0.6997 | 1.0 | 70 | 0.3258 | 0.7623 |
| 0.2884 | 2.0 | 140 | 0.2660 | 0.8037 |
| 0.1775 | 3.0 | 210 | 0.2376 | 0.8189 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.1+cu118
- Datasets 2.10.1
- Tokenizers 0.13.3
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Dataset used to train pradeepiisc/xlm-roberta-base-finetuned-panx-it
Evaluation results
- F1 on xtremevalidation set self-reported0.819