metadata
license: cc-by-4.0
base_model: deepset/xlm-roberta-base-squad2
tags:
- generated_from_trainer
model-index:
- name: xlm-roberta-base-squad2-finetuned-squad-2
results: []
xlm-roberta-base-squad2-finetuned-squad-2
This model is a fine-tuned version of deepset/xlm-roberta-base-squad2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8184
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: 0.0002
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8002 | 1.0 | 5000 | 1.6125 |
| 1.6407 | 2.0 | 10000 | 1.7686 |
| 1.4773 | 3.0 | 15000 | 1.7135 |
| 0.997 | 4.0 | 20000 | 1.5725 |
| 0.7288 | 5.0 | 25000 | 1.8184 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1