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bert-base-uncased-intent-booking

Text Classification
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bert
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text-embeddings-inference
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bert-base-uncased-intent-booking

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  1. README.md +28 -27
  2. model.safetensors +1 -1
README.md CHANGED
@@ -1,6 +1,7 @@
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  ---
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  library_name: transformers
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- base_model: monsoon-nlp/bert-base-thai
 
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -9,21 +10,21 @@ metrics:
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  - precision
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  - recall
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  model-index:
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- - name: bert-base-thai-intent-booking
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # bert-base-thai-intent-booking
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- 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.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.1511
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  - Accuracy: 0.1937
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- - F1: 0.1641
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- - Precision: 0.2236
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  - Recall: 0.1937
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  ## Model description
@@ -56,26 +57,26 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | 2.368 | 1.0 | 65 | 2.3624 | 0.0901 | 0.0149 | 0.0081 | 0.0901 |
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- | 2.3586 | 2.0 | 130 | 2.2374 | 0.1577 | 0.0963 | 0.1107 | 0.1577 |
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- | 2.2987 | 3.0 | 195 | 2.2589 | 0.1216 | 0.0626 | 0.0890 | 0.1216 |
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- | 2.279 | 4.0 | 260 | 2.1771 | 0.1757 | 0.1329 | 0.2163 | 0.1757 |
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- | 2.2326 | 5.0 | 325 | 2.2099 | 0.2027 | 0.1548 | 0.1497 | 0.2027 |
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- | 2.2273 | 6.0 | 390 | 2.1809 | 0.1712 | 0.1245 | 0.1127 | 0.1712 |
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- | 2.2303 | 7.0 | 455 | 2.2168 | 0.1486 | 0.1030 | 0.1190 | 0.1486 |
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- | 2.196 | 8.0 | 520 | 2.1862 | 0.1937 | 0.1478 | 0.1615 | 0.1937 |
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- | 2.1848 | 9.0 | 585 | 2.1320 | 0.2162 | 0.1773 | 0.2192 | 0.2162 |
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- | 2.183 | 10.0 | 650 | 2.1771 | 0.1712 | 0.1240 | 0.1703 | 0.1712 |
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- | 2.1669 | 11.0 | 715 | 2.1672 | 0.2117 | 0.1849 | 0.2453 | 0.2117 |
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- | 2.1586 | 12.0 | 780 | 2.1237 | 0.2162 | 0.1939 | 0.3552 | 0.2162 |
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- | 2.1465 | 13.0 | 845 | 2.1269 | 0.2117 | 0.1834 | 0.2440 | 0.2117 |
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- | 2.1454 | 14.0 | 910 | 2.1160 | 0.2162 | 0.1939 | 0.3552 | 0.2162 |
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- | 2.1404 | 15.0 | 975 | 2.1089 | 0.2162 | 0.1936 | 0.3561 | 0.2162 |
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- | 2.1293 | 16.0 | 1040 | 2.1272 | 0.2162 | 0.1947 | 0.3584 | 0.2162 |
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- | 2.1193 | 17.0 | 1105 | 2.1043 | 0.2117 | 0.1836 | 0.2431 | 0.2117 |
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- | 2.1094 | 18.0 | 1170 | 2.1053 | 0.2117 | 0.1895 | 0.2977 | 0.2117 |
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- | 2.1063 | 19.0 | 1235 | 2.1055 | 0.2117 | 0.1901 | 0.2989 | 0.2117 |
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- | 2.0888 | 20.0 | 1300 | 2.1067 | 0.2117 | 0.1895 | 0.2977 | 0.2117 |
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  ### Framework versions
 
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  ---
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  library_name: transformers
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+ license: apache-2.0
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+ base_model: google-bert/bert-base-uncased
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  - precision
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  - recall
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  model-index:
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+ - name: bert-base-uncased-intent-booking
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # bert-base-uncased-intent-booking
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+ This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.1797
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  - Accuracy: 0.1937
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+ - F1: 0.1715
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+ - Precision: 0.3099
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  - Recall: 0.1937
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 2.3533 | 1.0 | 65 | 2.3007 | 0.0946 | 0.0338 | 0.0281 | 0.0946 |
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+ | 2.2868 | 2.0 | 130 | 2.1968 | 0.1351 | 0.0632 | 0.0472 | 0.1351 |
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+ | 2.2299 | 3.0 | 195 | 2.1730 | 0.1847 | 0.1151 | 0.1020 | 0.1847 |
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+ | 2.1909 | 4.0 | 260 | 2.1719 | 0.1937 | 0.1687 | 0.3112 | 0.1937 |
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+ | 2.1657 | 5.0 | 325 | 2.1376 | 0.2027 | 0.1567 | 0.2069 | 0.2027 |
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+ | 2.1437 | 6.0 | 390 | 2.1459 | 0.1757 | 0.1461 | 0.1909 | 0.1757 |
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+ | 2.1342 | 7.0 | 455 | 2.1581 | 0.1667 | 0.1418 | 0.2867 | 0.1667 |
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+ | 2.1025 | 8.0 | 520 | 2.1425 | 0.1892 | 0.1504 | 0.2449 | 0.1892 |
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+ | 2.0749 | 9.0 | 585 | 2.1277 | 0.1847 | 0.1641 | 0.3096 | 0.1847 |
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+ | 2.0482 | 10.0 | 650 | 2.1283 | 0.2117 | 0.1895 | 0.3519 | 0.2117 |
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+ | 2.0654 | 11.0 | 715 | 2.1253 | 0.2117 | 0.1886 | 0.3004 | 0.2117 |
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+ | 2.0443 | 12.0 | 780 | 2.1200 | 0.1937 | 0.1770 | 0.2982 | 0.1937 |
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+ | 2.0345 | 13.0 | 845 | 2.1252 | 0.1937 | 0.1791 | 0.3098 | 0.1937 |
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+ | 2.0148 | 14.0 | 910 | 2.1113 | 0.1982 | 0.1783 | 0.2804 | 0.1982 |
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+ | 2.0112 | 15.0 | 975 | 2.1372 | 0.1892 | 0.1702 | 0.2746 | 0.1892 |
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+ | 2.0022 | 16.0 | 1040 | 2.1254 | 0.1892 | 0.1696 | 0.2710 | 0.1892 |
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+ | 1.9913 | 17.0 | 1105 | 2.1221 | 0.1892 | 0.1696 | 0.2710 | 0.1892 |
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+ | 1.9827 | 18.0 | 1170 | 2.1090 | 0.1982 | 0.1758 | 0.2910 | 0.1982 |
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+ | 1.9871 | 19.0 | 1235 | 2.1111 | 0.1982 | 0.1789 | 0.2756 | 0.1982 |
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+ | 1.9824 | 20.0 | 1300 | 2.1132 | 0.1892 | 0.1705 | 0.2665 | 0.1892 |
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  ### Framework versions
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