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: 0.4035
- F1: 0.6965
Model description
More information needed
Intended uses & limitations
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Training and evaluation data
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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 |
|---|---|---|---|---|
| 1.1326 | 1.0 | 50 | 0.5779 | 0.4717 |
| 0.5132 | 2.0 | 100 | 0.4366 | 0.6730 |
| 0.3743 | 3.0 | 150 | 0.4035 | 0.6965 |
Framework versions
- Transformers 4.16.2
- Pytorch 2.5.0+cu121
- Datasets 1.16.1
- Tokenizers 0.19.1
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