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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