NusaBERT-base-EmoT / README.md
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metadata
license: mit
base_model: LazarusNLP/NusaBERT-base
tags:
  - generated_from_trainer
datasets:
  - indonlu
metrics:
  - f1
model-index:
  - name: NusaBERT-base-EmoT
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: indonlu
          type: indonlu
          config: emot
          split: validation
          args: emot
        metrics:
          - name: F1
            type: f1
            value: 0.761

NusaBERT-base-EmoT

This model is a fine-tuned version of LazarusNLP/NusaBERT-base on the indonlu dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7778
  • F1: 0.761

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
  • train_batch_size: 32
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 100

Training results

Training Loss Epoch Step Validation Loss F1
No log 1.0 111 1.2158 0.5511
No log 2.0 222 0.8299 0.6929
No log 3.0 333 0.7713 0.7324
No log 4.0 444 0.7383 0.7431
0.8834 5.0 555 0.7813 0.7261
0.8834 6.0 666 0.7781 0.7591
0.8834 7.0 777 0.8360 0.7375
0.8834 8.0 888 0.8802 0.7287
0.8834 9.0 999 0.9192 0.7474
0.2881 10.0 1110 1.0433 0.733
0.2881 11.0 1221 1.0686 0.7277

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.2.0+cu118
  • Datasets 2.17.1
  • Tokenizers 0.15.1