xlm-roberta-base-skquad-qa
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5526
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4216 | 1.0 | 10470 | 1.1872 |
| 1.1044 | 2.0 | 20940 | 1.2025 |
| 0.6517 | 3.0 | 31410 | 1.2223 |
| 0.5282 | 4.0 | 41880 | 1.3990 |
| 0.6698 | 5.0 | 52350 | 1.5526 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
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Model tree for lukasjanek/xlm-roberta-base-skquad-qa
Base model
FacebookAI/xlm-roberta-base