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: 2.0986
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- 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: 10
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
4.3053 | 1.0 | 845 | 3.3807 |
3.0627 | 2.0 | 1690 | 2.7710 |
2.2496 | 3.0 | 2535 | 2.6862 |
2.0757 | 4.0 | 3380 | 2.5335 |
1.8615 | 5.0 | 4225 | 2.2315 |
1.7144 | 6.0 | 5070 | 2.3905 |
1.6598 | 7.0 | 5915 | 2.1928 |
1.5843 | 8.0 | 6760 | 2.1073 |
1.5172 | 9.0 | 7605 | 2.0659 |
1.4915 | 10.0 | 8450 | 2.0986 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3