readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - spearmanr
  model-index:
  - name: tiny-mlm-glue-qnli-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-qnli-target-glue-stsb
  
  This model is a fine-tuned version of [muhtasham/tiny-mlm-glue-qnli](https://huggingface.co/muhtasham/tiny-mlm-glue-qnli) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.8934
  - Pearson: 0.8154
  - Spearmanr: 0.8157
  
  ## 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
  - num_epochs: 200
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|
  | 2.952         | 2.78  | 500  | 1.1581          | 0.7199  | 0.7571    |
  | 0.9583        | 5.56  | 1000 | 1.1118          | 0.7743  | 0.7995    |
  | 0.7459        | 8.33  | 1500 | 0.9843          | 0.8028  | 0.8182    |
  | 0.6197        | 11.11 | 2000 | 0.8616          | 0.8165  | 0.8217    |
  | 0.5182        | 13.89 | 2500 | 0.9113          | 0.8140  | 0.8169    |
  | 0.4676        | 16.67 | 3000 | 0.9804          | 0.8144  | 0.8183    |
  | 0.4128        | 19.44 | 3500 | 0.8934          | 0.8154  | 0.8157    |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  