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QA_SYNTHETIC_DATA_ONLY_21_AUG_xlm-roberta-base
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: 0.0007
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 |
|---|---|---|---|
| 0.0509 | 1.0 | 9846 | 0.0072 |
| 0.0736 | 2.0 | 19692 | 0.0035 |
| 0.0165 | 3.0 | 29538 | 0.0042 |
| 0.0029 | 4.0 | 39384 | 0.0035 |
| 0.0228 | 5.0 | 49230 | 0.0024 |
| 0.0004 | 6.0 | 59076 | 0.0032 |
| 0.0 | 7.0 | 68922 | 0.0020 |
| 0.0009 | 8.0 | 78768 | 0.0003 |
| 0.0 | 9.0 | 88614 | 0.0005 |
| 0.0 | 10.0 | 98460 | 0.0007 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
