readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - spearmanr
  model-index:
  - name: tiny-mlm-glue-stsb-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-stsb-target-glue-stsb
  
  This model is a fine-tuned version of [muhtasham/tiny-mlm-glue-stsb](https://huggingface.co/muhtasham/tiny-mlm-glue-stsb) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.9825
  - Pearson: 0.8061
  - Spearmanr: 0.8043
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|
  | 3.5377        | 2.78  | 500  | 1.3011          | 0.6728  | 0.6791    |
  | 1.1922        | 5.56  | 1000 | 1.1395          | 0.7537  | 0.7804    |
  | 0.8417        | 8.33  | 1500 | 0.9970          | 0.7940  | 0.8066    |
  | 0.6813        | 11.11 | 2000 | 0.8608          | 0.8097  | 0.8125    |
  | 0.5633        | 13.89 | 2500 | 0.8698          | 0.8122  | 0.8111    |
  | 0.4986        | 16.67 | 3000 | 0.9720          | 0.8120  | 0.8145    |
  | 0.4365        | 19.44 | 3500 | 0.8846          | 0.8128  | 0.8114    |
  | 0.3969        | 22.22 | 4000 | 0.9115          | 0.8139  | 0.8118    |
  | 0.3544        | 25.0  | 4500 | 0.9530          | 0.8139  | 0.8116    |
  | 0.3379        | 27.78 | 5000 | 0.9940          | 0.8096  | 0.8094    |
  | 0.3146        | 30.56 | 5500 | 0.9590          | 0.8092  | 0.8090    |
  | 0.2881        | 33.33 | 6000 | 0.9825          | 0.8061  | 0.8043    |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  