CoolFace
Modelpublic

w11wo/indobert-base-p1-reddit-indonesia-sarcastic

sourceHugging Facemitupdated 3y agoView on Hugging Face
0likes10downloads
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. -->

indobert-base-p1-reddit-indonesia-sarcastic

This model is a fine-tuned version of indobenchmark/indobert-base-p1 on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.4390
  • —Accuracy: 0.7921
  • —F1: 0.6100
  • —Precision: 0.5745
  • —Recall: 0.6501

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
  • —trainbatchsize: 32
  • —evalbatchsize: 64
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: cosine
  • —num_epochs: 100.0
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossAccuracyF1PrecisionRecall
0.43851.03090.42580.79800.56750.61110.5297
0.34512.06180.43450.80300.62830.59490.6657
0.24043.09270.50540.80160.53180.64900.4504
0.13264.012360.70330.78600.54520.58200.5127
0.07875.015450.97960.78810.53350.59380.4844

Framework versions

  • —Transformers 4.36.2
  • —Pytorch 2.1.1+cu121
  • —Datasets 2.15.0
  • —Tokenizers 0.15.0