bert-base-intent-classification-cs-th
Browse files- README.md +74 -65
- config.json +50 -51
- model.safetensors +2 -2
- training_args.bin +1 -1
README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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base_model: google-bert/bert-base-multilingual-cased
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metrics:
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- accuracy
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- f1
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- precision
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- recall
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model-index:
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- name: bert-base-
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results: []
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datasets:
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- Porameht/customer-support-th-26.9k
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language:
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- th
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pipeline_tag: text-classification
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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-
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This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on an
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- F1: 0.
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- Recall: 0.
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### Training hyperparameters
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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### Framework versions
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- Transformers 4.40.1
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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---
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license: apache-2.0
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base_model: google-bert/bert-base-multilingual-cased
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- f1
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- precision
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- recall
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model-index:
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- name: bert-base-intent-classification-cs-th
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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-intent-classification-cs-th
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This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0408
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- Accuracy: 0.9936
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- F1: 0.9936
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- Precision: 0.9937
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- Recall: 0.9936
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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| 3.2835 | 0.0595 | 50 | 3.1041 | 0.1203 | 0.0504 | 0.0632 | 0.1210 |
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| 2.6752 | 0.1190 | 100 | 1.9646 | 0.5387 | 0.4737 | 0.6298 | 0.5426 |
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| 1.4751 | 0.1786 | 150 | 0.9447 | 0.8190 | 0.7929 | 0.8271 | 0.8188 |
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| 0.7571 | 0.2381 | 200 | 0.5163 | 0.8952 | 0.8826 | 0.8812 | 0.8955 |
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| 0.4849 | 0.2976 | 250 | 0.3539 | 0.9003 | 0.8905 | 0.8926 | 0.9021 |
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| 0.3401 | 0.3571 | 300 | 0.2883 | 0.9160 | 0.9037 | 0.9012 | 0.9165 |
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| 0.2533 | 0.4167 | 350 | 0.1735 | 0.9431 | 0.9322 | 0.9266 | 0.9443 |
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| 0.177 | 0.4762 | 400 | 0.1326 | 0.9665 | 0.9670 | 0.9676 | 0.9671 |
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| 0.119 | 0.5357 | 450 | 0.1527 | 0.9592 | 0.9582 | 0.9699 | 0.9600 |
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| 0.1183 | 0.5952 | 500 | 0.0886 | 0.9839 | 0.9841 | 0.9841 | 0.9842 |
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| 0.1065 | 0.6548 | 550 | 0.0829 | 0.9844 | 0.9844 | 0.9847 | 0.9844 |
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| 0.1006 | 0.7143 | 600 | 0.0686 | 0.9869 | 0.9869 | 0.9872 | 0.9869 |
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| 0.1096 | 0.7738 | 650 | 0.1071 | 0.9789 | 0.9791 | 0.9800 | 0.9788 |
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| 0.1392 | 0.8333 | 700 | 0.0939 | 0.9804 | 0.9804 | 0.9808 | 0.9803 |
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| 0.1067 | 0.8929 | 750 | 0.1077 | 0.9786 | 0.9790 | 0.9802 | 0.9786 |
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| 0.0779 | 0.9524 | 800 | 0.0657 | 0.9878 | 0.9878 | 0.9879 | 0.9879 |
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| 0.0626 | 1.0119 | 850 | 0.0750 | 0.9851 | 0.9853 | 0.9856 | 0.9852 |
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| 0.0419 | 1.0714 | 900 | 0.0641 | 0.9893 | 0.9893 | 0.9895 | 0.9893 |
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| 0.0373 | 1.1310 | 950 | 0.0664 | 0.9891 | 0.9891 | 0.9893 | 0.9890 |
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| 0.035 | 1.1905 | 1000 | 0.0575 | 0.9906 | 0.9906 | 0.9907 | 0.9906 |
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| 0.036 | 1.25 | 1050 | 0.0601 | 0.9891 | 0.9893 | 0.9895 | 0.9892 |
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| 0.0765 | 1.3095 | 1100 | 0.0682 | 0.9875 | 0.9875 | 0.9877 | 0.9874 |
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| 0.0637 | 1.3690 | 1150 | 0.0587 | 0.9906 | 0.9906 | 0.9908 | 0.9906 |
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| 0.0241 | 1.4286 | 1200 | 0.0528 | 0.9906 | 0.9907 | 0.9909 | 0.9905 |
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| 0.0608 | 1.4881 | 1250 | 0.0458 | 0.9920 | 0.9920 | 0.9922 | 0.9919 |
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| 0.0199 | 1.5476 | 1300 | 0.0508 | 0.9914 | 0.9914 | 0.9915 | 0.9914 |
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| 0.0663 | 1.6071 | 1350 | 0.0461 | 0.9911 | 0.9910 | 0.9911 | 0.9910 |
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| 0.0495 | 1.6667 | 1400 | 0.0525 | 0.9906 | 0.9907 | 0.9908 | 0.9906 |
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| 0.0336 | 1.7262 | 1450 | 0.0478 | 0.9915 | 0.9916 | 0.9917 | 0.9915 |
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| 0.0249 | 1.7857 | 1500 | 0.0578 | 0.9891 | 0.9891 | 0.9892 | 0.9891 |
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| 0.0287 | 1.8452 | 1550 | 0.0547 | 0.9908 | 0.9908 | 0.9909 | 0.9908 |
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| 0.0607 | 1.9048 | 1600 | 0.0395 | 0.9929 | 0.9929 | 0.9930 | 0.9928 |
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| 0.0268 | 1.9643 | 1650 | 0.0529 | 0.9897 | 0.9898 | 0.9902 | 0.9897 |
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| 0.013 | 2.0238 | 1700 | 0.0455 | 0.9924 | 0.9925 | 0.9926 | 0.9925 |
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| 0.0106 | 2.0833 | 1750 | 0.0419 | 0.9927 | 0.9928 | 0.9928 | 0.9927 |
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| 0.007 | 2.1429 | 1800 | 0.0461 | 0.9920 | 0.9920 | 0.9921 | 0.9919 |
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| 0.0502 | 2.2024 | 1850 | 0.0433 | 0.9929 | 0.9929 | 0.9930 | 0.9929 |
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| 0.017 | 2.2619 | 1900 | 0.0440 | 0.9926 | 0.9926 | 0.9927 | 0.9926 |
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| 0.0119 | 2.3214 | 1950 | 0.0403 | 0.9927 | 0.9928 | 0.9928 | 0.9927 |
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| 0.0063 | 2.3810 | 2000 | 0.0391 | 0.9930 | 0.9930 | 0.9931 | 0.9930 |
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| 0.0103 | 2.4405 | 2050 | 0.0412 | 0.9929 | 0.9929 | 0.9930 | 0.9929 |
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| 0.012 | 2.5 | 2100 | 0.0420 | 0.9929 | 0.9929 | 0.9930 | 0.9929 |
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| 0.0233 | 2.5595 | 2150 | 0.0407 | 0.9927 | 0.9928 | 0.9928 | 0.9928 |
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| 0.0169 | 2.6190 | 2200 | 0.0397 | 0.9930 | 0.9930 | 0.9931 | 0.9930 |
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| 0.0281 | 2.6786 | 2250 | 0.0367 | 0.9933 | 0.9933 | 0.9934 | 0.9933 |
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| 0.0117 | 2.7381 | 2300 | 0.0360 | 0.9933 | 0.9933 | 0.9934 | 0.9933 |
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| 0.0225 | 2.7976 | 2350 | 0.0354 | 0.9936 | 0.9936 | 0.9937 | 0.9936 |
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| 0.0078 | 2.8571 | 2400 | 0.0357 | 0.9936 | 0.9936 | 0.9937 | 0.9936 |
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| 0.0164 | 2.9167 | 2450 | 0.0346 | 0.9939 | 0.9939 | 0.9940 | 0.9939 |
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| 0.0016 | 2.9762 | 2500 | 0.0345 | 0.9939 | 0.9939 | 0.9940 | 0.9939 |
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### Framework versions
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- Transformers 4.40.1
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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config.json
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "
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"1": "
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"2": "
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"3": "contact_customer_service",
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"4": "
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"5": "
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"6": "
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"7": "
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"8": "
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"9": "check_refund_policy",
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"10": "
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"24": "
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"25": "
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"26": "
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"27": "cancel_order"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"cancel_order":
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"change_order":
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"change_shipping_address":
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"check_cancellation_fee":
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"check_invoice":
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"check_payment_methods":
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"check_refund_policy": 9,
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"complaint":
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"contact_customer_service": 3,
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"contact_human_agent":
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"create_account":
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"delete_account":
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"delivery_options":
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"delivery_period":
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"edit_account":
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"get_invoice":
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"get_refund":
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"newsletter_subscription":
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"payment_issue":
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"place_order":
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"recover_password":
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"registration_problems":
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"review":
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"set_up_shipping_address":
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"switch_account":
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"track_order":
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"track_refund":
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "create_account",
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"1": "review",
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"2": "change_shipping_address",
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"3": "contact_customer_service",
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"4": "contact_human_agent",
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"5": "check_payment_methods",
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"6": "set_up_shipping_address",
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"7": "delete_account",
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"8": "newsletter_subscription",
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"9": "check_refund_policy",
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"10": "change_order",
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"11": "track_refund",
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"12": "payment_issue",
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"13": "get_invoice",
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"14": "track_order",
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"15": "cancel_order",
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"16": "complaint",
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"17": "delivery_options",
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"18": "recover_password",
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"19": "check_invoice",
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"20": "get_refund",
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"21": "registration_problems",
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"22": "place_order",
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"23": "edit_account",
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"24": "delivery_period",
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"25": "check_cancellation_fee",
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"26": "switch_account"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"cancel_order": 15,
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"change_order": 10,
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"change_shipping_address": 2,
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"check_cancellation_fee": 25,
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"check_invoice": 19,
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"check_payment_methods": 5,
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"check_refund_policy": 9,
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"complaint": 16,
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"contact_customer_service": 3,
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"contact_human_agent": 4,
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"create_account": 0,
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"delete_account": 7,
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"delivery_options": 17,
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"delivery_period": 24,
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"edit_account": 23,
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"get_invoice": 13,
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"get_refund": 20,
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"newsletter_subscription": 8,
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"payment_issue": 12,
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"place_order": 22,
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"recover_password": 18,
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"registration_problems": 21,
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"review": 1,
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"set_up_shipping_address": 6,
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"switch_account": 26,
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"track_order": 14,
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"track_refund": 11
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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oid sha256:c931d7ea2a54ba0055001f602f5415c0038975bb5b2dacab3db314c831de8a69
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+
size 711520364
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4984
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6fea6bc200627f24de74e9d30642e6bdb4f4617636c1586b85127fb98d22fd50
|
| 3 |
size 4984
|