autocomplete_model / README.md
maulairfani's picture
Model save
e32db6c
metadata
license: mit
base_model: indolem/indobert-base-uncased
tags:
  - generated_from_trainer
model-index:
  - name: autocomplete_model
    results: []

autocomplete_model

This model is a fine-tuned version of indolem/indobert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 3.2526

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: 2e-07
  • 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
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 17 3.2168
No log 2.0 34 3.1874
No log 3.0 51 3.2537
No log 4.0 68 3.2260
No log 5.0 85 3.1759
3.4421 6.0 102 3.1777
3.4421 7.0 119 3.2093
3.4421 8.0 136 3.2277
3.4421 9.0 153 3.1694
3.4421 10.0 170 3.1333

Framework versions

  • Transformers 4.33.3
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3