kdrt_content / README.md
brescia's picture
Model save
f8d998b verified
|
raw
history blame
1.63 kB
metadata
license: apache-2.0
base_model: indolem/indobertweet-base-uncased
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - precision
  - recall
  - f1
model-index:
  - name: kdrt_content
    results: []

kdrt_content

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

  • Loss: 0.0003
  • Accuracy: 1.0
  • Precision: 1.0
  • Recall: 1.0
  • F1: 1.0

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 1.0 101 0.0004 1.0 1.0 1.0 1.0
No log 2.0 202 0.0003 1.0 1.0 1.0 1.0

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2