Fine-Tuned-XLM-Question-Answering
This model is a fine-tuned version of xlm-roberta-base on the i0xs0/Arabic-SQuAD dataset. It's been trained on question-answer pairs, It achieves the following results on the evaluation set:
- Loss: 2.1846
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4273 | 1.0 | 4835 | 2.2650 |
| 2.0727 | 2.0 | 9670 | 2.1846 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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Model tree for i0xs0/Fine-Tuned-XLM-Question-Answering
Base model
FacebookAI/xlm-roberta-base