CoolFace
Modelpublic

mrizalf7/IndobertNews

sourceHugging Facemitupdated 4y agoView on Hugging Face
1likes12downloads
Model Card

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

IndobertNews

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: 0.7050
  • Accuracy: 0.7954

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-05
  • trainbatchsize: 32
  • evalbatchsize: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 3
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossAccuracy
No log1.01040.86390.7593
No log2.02080.73270.7870
No log3.03120.70500.7954

Framework versions

  • Transformers 4.26.1
  • Pytorch 1.13.1+cu116
  • Datasets 2.9.0
  • Tokenizers 0.13.2