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QA_SYNTH_26_SEPT_WITH_FINETUNE_1.1
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: 0.0017
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: 3
- eval_batch_size: 3
- 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 |
|---|---|---|---|
| 0.0744 | 1.0 | 30375 | 0.0541 |
| 0.0637 | 2.0 | 60750 | 0.0165 |
| 0.0281 | 3.0 | 91125 | 0.0050 |
| 0.0195 | 4.0 | 121500 | 0.0178 |
| 0.0 | 5.0 | 151875 | 0.0018 |
| 0.0002 | 6.0 | 182250 | 0.0021 |
| 0.0 | 7.0 | 212625 | 0.0026 |
| 0.0 | 8.0 | 243000 | 0.0020 |
| 0.0 | 9.0 | 273375 | 0.0021 |
| 0.0 | 10.0 | 303750 | 0.0017 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
