kdrt_contentt / README.md
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metadata
license: mit
base_model: indobenchmark/indobert-base-p1
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - precision
  - recall
  - f1
model-index:
  - name: kdrt_contentt
    results: []

kdrt_contentt

This model is a fine-tuned version of indobenchmark/indobert-base-p1 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5388
  • Accuracy: 0.8311
  • Precision: 0.8311
  • Recall: 0.8311
  • F1: 0.8311

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: 5e-05
  • 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: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy Precision Recall F1
No log 1.0 149 0.4098 0.8277 0.8277 0.8277 0.8277
No log 2.0 298 0.5388 0.8311 0.8311 0.8311 0.8311

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1