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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