readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - massive
  metrics:
  - accuracy
  model-index:
  - name: bert-tiny-Massive-intent-KD-BERT
    results:
    - task:
        name: Text Classification
        type: text-classification
      dataset:
        name: massive
        type: massive
        config: en-US
        split: train
        args: en-US
      metrics:
      - name: Accuracy
        type: accuracy
        value: 0.853418593212002
  ---
  
  <!-- 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-tiny-Massive-intent-KD-BERT
  
  This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on the massive dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.8380
  - Accuracy: 0.8534
  
  ## 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: 16
  - seed: 33
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 50
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
  | 5.83          | 1.0   | 720   | 4.8826          | 0.3050   |
  | 4.7602        | 2.0   | 1440  | 3.9904          | 0.4191   |
  | 4.0301        | 3.0   | 2160  | 3.3806          | 0.5032   |
  | 3.4797        | 4.0   | 2880  | 2.9065          | 0.5967   |
  | 3.0352        | 5.0   | 3600  | 2.5389          | 0.6596   |
  | 2.6787        | 6.0   | 4320  | 2.2342          | 0.7044   |
  | 2.3644        | 7.0   | 5040  | 1.9873          | 0.7354   |
  | 2.1145        | 8.0   | 5760  | 1.7928          | 0.7462   |
  | 1.896         | 9.0   | 6480  | 1.6293          | 0.7644   |
  | 1.7138        | 10.0  | 7200  | 1.5062          | 0.7752   |
  | 1.5625        | 11.0  | 7920  | 1.3923          | 0.7885   |
  | 1.4229        | 12.0  | 8640  | 1.3092          | 0.7978   |
  | 1.308         | 13.0  | 9360  | 1.2364          | 0.8018   |
  | 1.201         | 14.0  | 10080 | 1.1759          | 0.8155   |
  | 1.1187        | 15.0  | 10800 | 1.1322          | 0.8214   |
  | 1.0384        | 16.0  | 11520 | 1.0990          | 0.8234   |
  | 0.976         | 17.0  | 12240 | 1.0615          | 0.8308   |
  | 0.9163        | 18.0  | 12960 | 1.0377          | 0.8328   |
  | 0.8611        | 19.0  | 13680 | 1.0054          | 0.8337   |
  | 0.812         | 20.0  | 14400 | 0.9926          | 0.8367   |
  | 0.7721        | 21.0  | 15120 | 0.9712          | 0.8382   |
  | 0.7393        | 22.0  | 15840 | 0.9586          | 0.8357   |
  | 0.7059        | 23.0  | 16560 | 0.9428          | 0.8372   |
  | 0.6741        | 24.0  | 17280 | 0.9377          | 0.8396   |
  | 0.6552        | 25.0  | 18000 | 0.9229          | 0.8377   |
  | 0.627         | 26.0  | 18720 | 0.9100          | 0.8416   |
  | 0.5972        | 27.0  | 19440 | 0.9028          | 0.8416   |
  | 0.5784        | 28.0  | 20160 | 0.8996          | 0.8406   |
  | 0.5595        | 29.0  | 20880 | 0.8833          | 0.8451   |
  | 0.5438        | 30.0  | 21600 | 0.8772          | 0.8475   |
  | 0.5218        | 31.0  | 22320 | 0.8758          | 0.8451   |
  | 0.509         | 32.0  | 23040 | 0.8728          | 0.8480   |
  | 0.4893        | 33.0  | 23760 | 0.8640          | 0.8480   |
  | 0.4948        | 34.0  | 24480 | 0.8541          | 0.8475   |
  | 0.4722        | 35.0  | 25200 | 0.8595          | 0.8495   |
  | 0.468         | 36.0  | 25920 | 0.8488          | 0.8495   |
  | 0.4517        | 37.0  | 26640 | 0.8460          | 0.8505   |
  | 0.4462        | 38.0  | 27360 | 0.8450          | 0.8485   |
  | 0.4396        | 39.0  | 28080 | 0.8422          | 0.8490   |
  | 0.427         | 40.0  | 28800 | 0.8380          | 0.8534   |
  | 0.4287        | 41.0  | 29520 | 0.8385          | 0.8480   |
  | 0.4222        | 42.0  | 30240 | 0.8319          | 0.8510   |
  | 0.421         | 43.0  | 30960 | 0.8296          | 0.8510   |
  
  
  ### Framework versions
  
  - Transformers 4.22.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.5.1
  - Tokenizers 0.12.1
  