metadata
library_name: transformers
base_model: monsoon-nlp/bert-base-thai
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
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: 2.1536
- Accuracy: 0.1982
- F1: 0.1700
- Precision: 0.2287
- Recall: 0.1982
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 2.3662 | 1.0 | 65 | 2.3486 | 0.0901 | 0.0149 | 0.0081 | 0.0901 |
| 2.3449 | 2.0 | 130 | 2.2698 | 0.1982 | 0.1149 | 0.0942 | 0.1982 |
| 2.2956 | 3.0 | 195 | 2.2133 | 0.1396 | 0.0764 | 0.0628 | 0.1396 |
| 2.2669 | 4.0 | 260 | 2.1724 | 0.1712 | 0.1367 | 0.1656 | 0.1712 |
| 2.2199 | 5.0 | 325 | 2.2163 | 0.1577 | 0.1191 | 0.1388 | 0.1577 |
| 2.2279 | 6.0 | 390 | 2.1963 | 0.1396 | 0.1008 | 0.1460 | 0.1396 |
| 2.1828 | 7.0 | 455 | 2.1606 | 0.1892 | 0.1644 | 0.2060 | 0.1892 |
| 2.1635 | 8.0 | 520 | 2.1509 | 0.1982 | 0.1701 | 0.2170 | 0.1982 |
| 2.1588 | 9.0 | 585 | 2.1404 | 0.1937 | 0.1677 | 0.2157 | 0.1937 |
| 2.1415 | 10.0 | 650 | 2.1212 | 0.2027 | 0.1743 | 0.2244 | 0.2027 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1