readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - spearmanr
  model-index:
  - name: small-mlm-glue-mnli-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. -->
  
  # small-mlm-glue-mnli-target-glue-stsb
  
  This model is a fine-tuned version of [muhtasham/small-mlm-glue-mnli](https://huggingface.co/muhtasham/small-mlm-glue-mnli) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5787
  - Pearson: 0.8713
  - Spearmanr: 0.8682
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|
  | 0.8409        | 2.78  | 500  | 0.6223          | 0.8639  | 0.8635    |
  | 0.2924        | 5.56  | 1000 | 0.5894          | 0.8678  | 0.8657    |
  | 0.1734        | 8.33  | 1500 | 0.6029          | 0.8653  | 0.8628    |
  | 0.1252        | 11.11 | 2000 | 0.6190          | 0.8702  | 0.8670    |
  | 0.1009        | 13.89 | 2500 | 0.5801          | 0.8708  | 0.8681    |
  | 0.0831        | 16.67 | 3000 | 0.6374          | 0.8689  | 0.8652    |
  | 0.0698        | 19.44 | 3500 | 0.5801          | 0.8716  | 0.8683    |
  | 0.0609        | 22.22 | 4000 | 0.5641          | 0.8741  | 0.8706    |
  | 0.0569        | 25.0  | 4500 | 0.5491          | 0.8728  | 0.8697    |
  | 0.0512        | 27.78 | 5000 | 0.5787          | 0.8713  | 0.8682    |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  