readme: ---
  language:
  - en
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - glue
  metrics:
  - spearmanr
  model-index:
  - name: mobilebert_add_GLUE_Experiment_stsb_128
    results:
    - task:
        name: Text Classification
        type: text-classification
      dataset:
        name: GLUE STSB
        type: glue
        config: stsb
        split: validation
        args: stsb
      metrics:
      - name: Spearmanr
        type: spearmanr
        value: 0.03419936685461868
  ---
  
  <!-- 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. -->
  
  # mobilebert_add_GLUE_Experiment_stsb_128
  
  This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the GLUE STSB dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.2820
  - Pearson: 0.0445
  - Spearmanr: 0.0342
  - Combined Score: 0.0393
  
  ## 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: 128
  - eval_batch_size: 128
  - seed: 10
  - distributed_type: multi-GPU
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 50
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | Combined Score |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
  | 5.0491        | 1.0   | 45   | 2.6735          | -0.0094 | -0.0099   | -0.0097        |
  | 2.2021        | 2.0   | 90   | 3.1489          | 0.0389  | 0.0330    | 0.0359         |
  | 2.1522        | 3.0   | 135  | 2.2943          | 0.0413  | 0.0270    | 0.0341         |
  | 2.125         | 4.0   | 180  | 2.5078          | 0.0421  | 0.0274    | 0.0348         |
  | 2.1328        | 5.0   | 225  | 2.2820          | 0.0445  | 0.0342    | 0.0393         |
  | 2.0676        | 6.0   | 270  | 2.3672          | 0.0464  | 0.0393    | 0.0428         |
  | 2.0545        | 7.0   | 315  | 2.6386          | 0.0506  | 0.0463    | 0.0485         |
  | 2.0677        | 8.0   | 360  | 2.4397          | 0.0556  | 0.0574    | 0.0565         |
  | 1.9988        | 9.0   | 405  | 2.4024          | 0.0601  | 0.0630    | 0.0615         |
  | 1.9683        | 10.0  | 450  | 2.7224          | 0.0576  | 0.0646    | 0.0611         |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.14.0a0+410ce96
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  