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metadata
base_model: monsoon-nlp/bert-base-thai
library_name: transformers
metrics:
  - accuracy
  - f1
  - precision
  - recall
tags:
  - generated_from_trainer
model-index:
  - name: bert-base-thai-intent-booking
    results: []

bert-base-thai-intent-booking

This model is a fine-tuned version of monsoon-nlp/bert-base-thai on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 2.1511
  • Accuracy: 0.1937
  • F1: 0.1641
  • Precision: 0.2236
  • Recall: 0.1937

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: 16
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 64
  • num_epochs: 20

Training results

Training Loss Epoch Step Validation Loss Accuracy F1 Precision Recall
2.368 1.0 65 2.3624 0.0901 0.0149 0.0081 0.0901
2.3586 2.0 130 2.2374 0.1577 0.0963 0.1107 0.1577
2.2987 3.0 195 2.2589 0.1216 0.0626 0.0890 0.1216
2.279 4.0 260 2.1771 0.1757 0.1329 0.2163 0.1757
2.2326 5.0 325 2.2099 0.2027 0.1548 0.1497 0.2027
2.2273 6.0 390 2.1809 0.1712 0.1245 0.1127 0.1712
2.2303 7.0 455 2.2168 0.1486 0.1030 0.1190 0.1486
2.196 8.0 520 2.1862 0.1937 0.1478 0.1615 0.1937
2.1848 9.0 585 2.1320 0.2162 0.1773 0.2192 0.2162
2.183 10.0 650 2.1771 0.1712 0.1240 0.1703 0.1712
2.1669 11.0 715 2.1672 0.2117 0.1849 0.2453 0.2117
2.1586 12.0 780 2.1237 0.2162 0.1939 0.3552 0.2162
2.1465 13.0 845 2.1269 0.2117 0.1834 0.2440 0.2117
2.1454 14.0 910 2.1160 0.2162 0.1939 0.3552 0.2162
2.1404 15.0 975 2.1089 0.2162 0.1936 0.3561 0.2162
2.1293 16.0 1040 2.1272 0.2162 0.1947 0.3584 0.2162
2.1193 17.0 1105 2.1043 0.2117 0.1836 0.2431 0.2117
2.1094 18.0 1170 2.1053 0.2117 0.1895 0.2977 0.2117
2.1063 19.0 1235 2.1055 0.2117 0.1901 0.2989 0.2117
2.0888 20.0 1300 2.1067 0.2117 0.1895 0.2977 0.2117

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.1+cu121
  • Datasets 3.0.1
  • Tokenizers 0.19.1