bert-base-thai-intent-booking

Porameht/bert-base-thai-intent-booking

bert-base-thai-intent-booking is a text classification model from Porameht. Use it when you need a label for a piece of text. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
Model type: bert
Access: Public
Created: Oct 8, 2024
Updated: Oct 8, 2024
SHA: d4c86a83

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Base models

monsoon-nlp/bert-base-thai

Model card

From the Hugging Face model README

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

Task: Text Classification
Library: transformers
Type: bert
Created: Oct 8, 2024
Updated: Oct 8, 2024