readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  model-index:
  - name: small-mlm-glue-sst2-target-glue-qqp
    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-sst2-target-glue-qqp
  
  This model is a fine-tuned version of [muhtasham/small-mlm-glue-sst2](https://huggingface.co/muhtasham/small-mlm-glue-sst2) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3294
  - Accuracy: 0.8517
  - F1: 0.8131
  
  ## 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 | Accuracy | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
  | 0.4741        | 0.04  | 500  | 0.4233          | 0.7913   | 0.7483 |
  | 0.4192        | 0.09  | 1000 | 0.3860          | 0.8136   | 0.7685 |
  | 0.401         | 0.13  | 1500 | 0.3733          | 0.8232   | 0.7802 |
  | 0.3857        | 0.18  | 2000 | 0.3747          | 0.8202   | 0.7877 |
  | 0.3808        | 0.22  | 2500 | 0.3617          | 0.8343   | 0.7962 |
  | 0.3626        | 0.26  | 3000 | 0.3507          | 0.8359   | 0.7972 |
  | 0.3604        | 0.31  | 3500 | 0.3355          | 0.8476   | 0.8010 |
  | 0.3533        | 0.35  | 4000 | 0.3353          | 0.8474   | 0.8087 |
  | 0.3585        | 0.4   | 4500 | 0.3316          | 0.8473   | 0.8073 |
  | 0.3461        | 0.44  | 5000 | 0.3294          | 0.8517   | 0.8131 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  