bert-base-thai-intent-booking

README.md

@@ -1,7 +1,6 @@
 ---
 library_name: transformers
-license: apache-2.0
-base_model: Geotrend/bert-base-th-cased
+base_model: monsoon-nlp/bert-base-thai
 tags:
 - generated_from_trainer
 metrics:
@@ -10,22 +9,22 @@ metrics:
 - precision
 - recall
 model-index:
-- name: bert-base-th-cased-intent-booking
+- 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-th-cased-intent-booking
+# bert-base-thai-intent-booking
 
-This model is a fine-tuned version of [Geotrend/bert-base-th-cased](https://huggingface.co/Geotrend/bert-base-th-cased) on an unknown dataset.
+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: 0.2707
-- Accuracy: 0.9234
-- F1: 0.9209
-- Precision: 0.9322
-- Recall: 0.9234
+- Loss: 2.1511
+- Accuracy: 0.1937
+- F1: 0.1641
+- Precision: 0.2236
+- Recall: 0.1937
 
 ## Model description
 
@@ -51,15 +50,32 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 64
-- num_epochs: 3
+- num_epochs: 20
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 1.8845        | 1.0   | 65   | 0.6954          | 0.9144   | 0.9139 | 0.9169    | 0.9144 |
-| 0.446         | 2.0   | 130  | 0.2283          | 0.9279   | 0.9289 | 0.9327    | 0.9279 |
-| 0.1807        | 3.0   | 195  | 0.2037          | 0.9505   | 0.9506 | 0.9568    | 0.9505 |
+| 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

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:72bb8ea70ea0db9b1ec9e4d8544ab89cf7b61a4e6bd2dc65ac8d9d0dddece3e8
+oid sha256:96ca5c3013213d57704776fc66e0a60b3cd00c037f700d100e5cca627c3f4066
 size 421031944