metadata
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: QA_SYNTH_DATA_WITH_UNANSWERABLE_24_AUG
results: []
QA_SYNTH_DATA_WITH_UNANSWERABLE_24_AUG
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0021
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1499 | 1.0 | 7311 | 0.0633 |
| 0.0494 | 2.0 | 14622 | 0.0603 |
| 0.0259 | 3.0 | 21933 | 0.0119 |
| 0.0179 | 4.0 | 29244 | 0.0104 |
| 0.0193 | 5.0 | 36555 | 0.0082 |
| 0.0188 | 6.0 | 43866 | 0.0075 |
| 0.0045 | 7.0 | 51177 | 0.0040 |
| 0.0 | 8.0 | 58488 | 0.0023 |
| 0.0 | 9.0 | 65799 | 0.0065 |
| 0.0 | 10.0 | 73110 | 0.0021 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3