metadata
license: mit
tags:
- generated_from_trainer
model-index:
- name: vipubmed-deberta-xsmall-finetuned-squad
results: []
vipubmed-deberta-xsmall-finetuned-squad
This model is a fine-tuned version of manhtt-079/vipubmed-deberta-xsmall on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.6448
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1442 | 1.0 | 1622 | 1.9280 |
| 1.5136 | 2.0 | 3244 | 1.5406 |
| 1.1747 | 3.0 | 4866 | 1.5945 |
| 0.9242 | 4.0 | 6488 | 1.6185 |
| 0.7439 | 5.0 | 8110 | 1.7099 |
| 0.5699 | 6.0 | 9732 | 1.8345 |
| 0.4549 | 7.0 | 11354 | 2.0935 |
| 0.3667 | 8.0 | 12976 | 2.2295 |
| 0.2881 | 9.0 | 14598 | 2.4917 |
| 0.2398 | 10.0 | 16220 | 2.7296 |
| 0.1911 | 11.0 | 17842 | 2.9421 |
| 0.1539 | 12.0 | 19464 | 3.1193 |
| 0.1273 | 13.0 | 21086 | 3.3655 |
| 0.1147 | 14.0 | 22708 | 3.4853 |
| 0.0957 | 15.0 | 24330 | 3.6448 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3