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---
license: mit
tags:
- generated_from_trainer
model-index:
- name: vipubmed-deberta-xsmall-finetuned-squad
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vipubmed-deberta-xsmall-finetuned-squad
This model is a fine-tuned version of [manhtt-079/vipubmed-deberta-xsmall](https://huggingface.co/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
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