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QA_SYNTH_DATA_WITH_UNANSWERABLE_19_SEPT
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: 0.0008
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 |
|---|---|---|---|
| 0.0178 | 1.0 | 76947 | 0.0089 |
| 0.0054 | 2.0 | 153894 | 0.0070 |
| 0.0241 | 3.0 | 230841 | 0.0031 |
| 0.0009 | 4.0 | 307788 | 0.0248 |
| 0.0195 | 5.0 | 384735 | 0.0059 |
| 0.0105 | 6.0 | 461682 | 0.0007 |
| 0.0 | 7.0 | 538629 | 0.0007 |
| 0.0 | 8.0 | 615576 | 0.0005 |
| 0.0 | 9.0 | 692523 | 0.0009 |
| 0.0 | 10.0 | 769470 | 0.0008 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
