readme: ---
  language:
  - en
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - glue
  metrics:
  - spearmanr
  model-index:
  - name: mobilebert_add_GLUE_Experiment_stsb_256
    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: 0.02173520720193955
  ---
  
  <!-- 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_256
  
  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: 2.2965
  - Pearson: 0.0399
  - Spearmanr: 0.0217
  - Combined Score: 0.0308
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
  | 4.3289        | 1.0   | 45   | 2.5185          | 0.0152  | 0.0186    | 0.0169         |
  | 2.1532        | 2.0   | 90   | 2.5569          | 0.0388  | 0.0235    | 0.0312         |
  | 2.1161        | 3.0   | 135  | 2.2965          | 0.0399  | 0.0217    | 0.0308         |
  | 2.1083        | 4.0   | 180  | 2.4191          | 0.0409  | 0.0284    | 0.0347         |
  | 2.0885        | 5.0   | 225  | 2.5610          | 0.0458  | 0.0382    | 0.0420         |
  | 2.0602        | 6.0   | 270  | 2.3788          | 0.0473  | 0.0444    | 0.0458         |
  | 2.0283        | 7.0   | 315  | 2.4459          | 0.0571  | 0.0527    | 0.0549         |
  | 1.9677        | 8.0   | 360  | 2.4995          | 0.0614  | 0.0604    | 0.0609         |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.14.0a0+410ce96
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  