QA_SYNTH_25_SEPT_WITH_FINETUNE_1.1_on19sept
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
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 |
|---|
| 0.0731 | 1.0 | 14513 | 0.0063 |
| 0.0 | 2.0 | 29026 | 0.0048 |
| 0.0484 | 3.0 | 43539 | 0.0034 |
| 0.0 | 4.0 | 58052 | 0.0030 |
| 0.0006 | 5.0 | 72565 | 0.0073 |
| 0.0002 | 6.0 | 87078 | 0.0019 |
| 0.0001 | 7.0 | 101591 | 0.0000 |
| 0.0 | 8.0 | 116104 | 0.0000 |
| 0.0 | 9.0 | 130617 | 0.0000 |
| 0.0 | 10.0 | 145130 | 0.0000 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
