metadata
license: mit
tags:
- generated_from_trainer
model-index:
- name: QA_model
results: []
QA_model
This model is a fine-tuned version of ukr-models/xlm-roberta-base-uk on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4493
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: 15
- eval_batch_size: 15
- 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 |
|---|---|---|---|
| 2.4541 | 1.0 | 586 | 1.4612 |
| 1.4113 | 2.0 | 1172 | 1.3083 |
| 1.0631 | 3.0 | 1758 | 1.3720 |
| 0.8692 | 4.0 | 2344 | 1.3690 |
| 0.7216 | 5.0 | 2930 | 1.4493 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2