xlm-roberta-base-finetuned-panx-all-test
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: 0.1728
- F1: 0.8567
Model description
More information needed
Intended uses & limitations
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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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.2989 | 1.0 | 835 | 0.2149 | 0.8014 |
| 0.1552 | 2.0 | 1670 | 0.1750 | 0.8470 |
| 0.1025 | 3.0 | 2505 | 0.1728 | 0.8567 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for sowhats/xlm-roberta-base-finetuned-panx-all-test
Base model
FacebookAI/xlm-roberta-base