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toneza

This model is a fine-tuned version of pythainlp/thainer-corpus-v2-base-model on the lst20 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1293
  • Precision: 0.7684
  • Recall: 0.8120
  • F1: 0.7896
  • Accuracy: 0.9565

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
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
0.1226 1.0 1978 0.1416 0.7414 0.7802 0.7603 0.9518
0.098 2.0 3956 0.1324 0.7602 0.7966 0.7780 0.9545
0.0895 3.0 5934 0.1293 0.7684 0.8120 0.7896 0.9565

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0
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Model size
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F32
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Finetuned from

Dataset used to train thanaphatt1/WangchanBERTa-LST20

Evaluation results