readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  model-index:
  - name: small-mlm-glue-stsb-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-stsb-target-glue-qqp
  
  This model is a fine-tuned version of [muhtasham/small-mlm-glue-stsb](https://huggingface.co/muhtasham/small-mlm-glue-stsb) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3294
  - Accuracy: 0.8525
  - 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     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
  | 0.4739        | 0.04  | 500  | 0.4259          | 0.7919   | 0.7514 |
  | 0.4186        | 0.09  | 1000 | 0.3841          | 0.8190   | 0.7709 |
  | 0.3984        | 0.13  | 1500 | 0.3737          | 0.8228   | 0.7757 |
  | 0.3853        | 0.18  | 2000 | 0.3725          | 0.8228   | 0.7878 |
  | 0.3761        | 0.22  | 2500 | 0.3558          | 0.8362   | 0.7969 |
  | 0.3616        | 0.26  | 3000 | 0.3434          | 0.8418   | 0.8010 |
  | 0.3616        | 0.31  | 3500 | 0.3286          | 0.8504   | 0.8008 |
  | 0.3528        | 0.35  | 4000 | 0.3293          | 0.8513   | 0.8110 |
  | 0.358         | 0.4   | 4500 | 0.3213          | 0.8539   | 0.8104 |
  | 0.3428        | 0.44  | 5000 | 0.3294          | 0.8525   | 0.8131 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  