metadata
license: mit
tags:
- generated_from_trainer
datasets:
- ja_qu_ad
model-index:
- name: xlm-roberta-base-finetuned-JaQuAD
results: []
xlm-roberta-base-finetuned-JaQuAD
This model is a fine-tuned version of xlm-roberta-base on the ja_qu_ad dataset. It achieves the following results on the evaluation set:
- Loss: 0.7495
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: 6e-05
- 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
- lr_scheduler_warmup_steps: 50
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8661 | 1.0 | 1985 | 0.8036 |
| 0.5348 | 2.0 | 3970 | 0.7495 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1
- Datasets 2.13.1
- Tokenizers 0.13.3