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metadata
library_name: transformers
base_model: airesearch/wangchanberta-base-att-spm-uncased
tags:
  - generated_from_trainer
model-index:
  - name: fined-tune-thai-sentiment
    results: []

fined-tune-thai-sentiment

This model is a fine-tuned version of airesearch/wangchanberta-base-att-spm-uncased on an unknown dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.4186
  • eval_model_preparation_time: 0.0055
  • eval_accuracy: 0.8854
  • eval_f1-score: 0.8800
  • eval_precision: 0.8794
  • eval_recall: 0.8854
  • eval_runtime: 6.693
  • eval_samples_per_second: 37.801
  • eval_steps_per_second: 4.781
  • step: 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 221
  • num_epochs: 10

Framework versions

  • Transformers 4.46.2
  • Pytorch 2.5.1+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3