---
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: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# bert-base-thai-intent-booking

This model is a fine-tuned version of [monsoon-nlp/bert-base-thai](https://huggingface.co/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