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QA_SYNTH_DATA_WITH_UNANSWERABLE_28_AUG_v1
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: 0.0031
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 |
|---|---|---|---|
| 0.1645 | 1.0 | 13141 | 0.1139 |
| 0.0279 | 2.0 | 26282 | 0.0459 |
| 0.1305 | 3.0 | 39423 | 0.0819 |
| 0.0009 | 4.0 | 52564 | 0.0076 |
| 0.0234 | 5.0 | 65705 | 0.0082 |
| 0.0 | 6.0 | 78846 | 0.0123 |
| 0.0063 | 7.0 | 91987 | 0.0050 |
| 0.0137 | 8.0 | 105128 | 0.0044 |
| 0.0 | 9.0 | 118269 | 0.0031 |
| 0.0 | 10.0 | 131410 | 0.0031 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
