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QA_SYNTH_DATA_WITH_UNANSWERABLE_29_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: 0.0024
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 |
|---|---|---|---|
| 0.2206 | 1.0 | 14700 | 0.0603 |
| 0.1264 | 2.0 | 29400 | 0.0097 |
| 0.024 | 3.0 | 44100 | 0.1415 |
| 0.003 | 4.0 | 58800 | 0.0101 |
| 0.0044 | 5.0 | 73500 | 0.0183 |
| 0.0 | 6.0 | 88200 | 0.0042 |
| 0.0635 | 7.0 | 102900 | 0.0331 |
| 0.0 | 8.0 | 117600 | 0.0050 |
| 0.0 | 9.0 | 132300 | 0.0014 |
| 0.0 | 10.0 | 147000 | 0.0024 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
