readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  model-index:
  - name: small-mlm-glue-rte-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-rte-target-glue-qqp
  
  This model is a fine-tuned version of [muhtasham/small-mlm-glue-rte](https://huggingface.co/muhtasham/small-mlm-glue-rte) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3294
  - Accuracy: 0.8496
  - F1: 0.8112
  
  ## 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     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
  | 0.4764        | 0.04  | 500  | 0.4288          | 0.7863   | 0.7498 |
  | 0.4172        | 0.09  | 1000 | 0.3936          | 0.8089   | 0.7701 |
  | 0.4017        | 0.13  | 1500 | 0.3707          | 0.8236   | 0.7785 |
  | 0.3865        | 0.18  | 2000 | 0.3751          | 0.8197   | 0.7857 |
  | 0.3788        | 0.22  | 2500 | 0.3682          | 0.8292   | 0.7938 |
  | 0.364         | 0.26  | 3000 | 0.3517          | 0.8351   | 0.7969 |
  | 0.3616        | 0.31  | 3500 | 0.3324          | 0.8496   | 0.8043 |
  | 0.3533        | 0.35  | 4000 | 0.3348          | 0.8457   | 0.8071 |
  | 0.3599        | 0.4   | 4500 | 0.3362          | 0.8451   | 0.8094 |
  | 0.3465        | 0.44  | 5000 | 0.3294          | 0.8496   | 0.8112 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  