readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - spearmanr
  model-index:
  - name: tiny-mlm-glue-wnli-target-glue-stsb
    results: []
  ---
  
  <!-- 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. -->
  
  # tiny-mlm-glue-wnli-target-glue-stsb
  
  This model is a fine-tuned version of [muhtasham/tiny-mlm-glue-wnli](https://huggingface.co/muhtasham/tiny-mlm-glue-wnli) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.8784
  - Pearson: 0.7929
  - Spearmanr: 0.7891
  
  ## 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: 3e-05
  - train_batch_size: 32
  - eval_batch_size: 32
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: constant
  - training_steps: 5000
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|
  | 3.3443        | 2.78  | 500  | 1.5642          | 0.5784  | 0.6011    |
  | 1.2259        | 5.56  | 1000 | 1.0907          | 0.7358  | 0.7382    |
  | 0.8948        | 8.33  | 1500 | 0.9367          | 0.7750  | 0.7751    |
  | 0.7357        | 11.11 | 2000 | 0.8525          | 0.7934  | 0.7905    |
  | 0.6119        | 13.89 | 2500 | 0.8436          | 0.7977  | 0.7944    |
  | 0.5301        | 16.67 | 3000 | 0.8999          | 0.7947  | 0.7928    |
  | 0.4657        | 19.44 | 3500 | 0.8341          | 0.7989  | 0.7943    |
  | 0.4104        | 22.22 | 4000 | 0.8818          | 0.7972  | 0.7930    |
  | 0.3686        | 25.0  | 4500 | 0.8811          | 0.7973  | 0.7929    |
  | 0.3348        | 27.78 | 5000 | 0.8784          | 0.7929  | 0.7891    |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  