readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - spearmanr
  model-index:
  - name: tiny-mlm-glue-mnli-from-scratch-custom-tokenizer-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-mnli-from-scratch-custom-tokenizer-target-glue-stsb
  
  This model is a fine-tuned version of [muhtasham/tiny-mlm-glue-mnli-from-scratch-custom-tokenizer](https://huggingface.co/muhtasham/tiny-mlm-glue-mnli-from-scratch-custom-tokenizer) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.0116
  - Pearson: 0.2065
  - Spearmanr: 0.2191
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|
  | 3.4686        | 2.78  | 500  | 2.3726          | -0.0027 | 0.0046    |
  | 2.007         | 5.56  | 1000 | 2.4554          | 0.1070  | 0.1026    |
  | 1.6757        | 8.33  | 1500 | 2.5454          | 0.1855  | 0.2018    |
  | 1.2994        | 11.11 | 2000 | 2.6006          | 0.2215  | 0.2353    |
  | 1.0455        | 13.89 | 2500 | 2.6117          | 0.2278  | 0.2338    |
  | 0.8597        | 16.67 | 3000 | 2.9475          | 0.2118  | 0.2236    |
  | 0.7389        | 19.44 | 3500 | 2.8112          | 0.2173  | 0.2237    |
  | 0.6597        | 22.22 | 4000 | 3.0116          | 0.2065  | 0.2191    |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  