LazarusNLP/IndoNanoT5-base-XPersona

This model is a fine-tuned version of LazarusNLP/IndoNanoT5-base on the indonlg dataset. It achieves the following results on the evaluation set:

  • Loss: 1.8372
  • Bleu: 4.0669
  • Sacrebleu: 4.0669

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: 1e-05
  • train_batch_size: 8
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 50

Training results

Training Loss Epoch Step Validation Loss Bleu Sacrebleu
1.9872 1.0 15516 1.8482 3.7015 3.7015
1.888 2.0 31032 1.8434 4.0409 4.0409
1.8207 3.0 46548 1.8347 4.1239 4.1239
1.7716 4.0 62064 1.8340 4.3231 4.3231
1.6948 5.0 77580 1.8443 4.4283 4.4283
1.6442 6.0 93096 1.8563 4.5338 4.5338
1.5856 7.0 108612 1.8782 4.3033 4.3033
1.5451 8.0 124128 1.8930 4.3286 4.3286
1.5056 9.0 139644 1.9207 4.2773 4.2773
1.446 10.0 155160 1.9406 4.0629 4.0629
1.406 11.0 170676 1.9636 4.1382 4.1382

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.2.0+cu118
  • Datasets 2.16.1
  • Tokenizers 0.15.1
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Evaluation results