Colab_Notebooks
This model is a fine-tuned version of AlexKay/xlm-roberta-large-qa-multilingual-finedtuned-ru on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1137
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 159 | 0.2837 |
| No log | 2.0 | 318 | 0.2131 |
| No log | 3.0 | 477 | 0.1137 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3