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: 1.7415
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: 8
- eval_batch_size: 8
- 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: 1
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.7656 | 1.0 | 3244 | 1.7415 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3