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idt5-base-finetune-squad

This model is a fine-tuned version of muchad/idt5-base on on translated Indonesian SQUAD dataset. It achieves the following results on the evaluation set:

  • Exact: 49.19
  • F1: 67.36

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0001
  • train_batch_size: 4
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss
0.5682 1.1 36000 0.7753
0.5153 1.93 63000 0.7490

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.6
  • Tokenizers 0.14.1
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Dataset used to train haurajahra/idT5finetunesquad