readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: small-mlm-glue-cola-from-scratch-custom-tokenizer-target-glue-mnli
    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-cola-from-scratch-custom-tokenizer-target-glue-mnli
  
  This model is a fine-tuned version of [muhtasham/small-mlm-glue-cola-from-scratch-custom-tokenizer](https://huggingface.co/muhtasham/small-mlm-glue-cola-from-scratch-custom-tokenizer) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.9264
  - Accuracy: 0.5644
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 1.0999        | 0.04  | 500  | 1.0987          | 0.3975   |
  | 1.0483        | 0.08  | 1000 | 1.0515          | 0.4310   |
  | 1.0189        | 0.12  | 1500 | 0.9948          | 0.4982   |
  | 0.9952        | 0.16  | 2000 | 0.9831          | 0.5156   |
  | 0.9854        | 0.2   | 2500 | 0.9795          | 0.5052   |
  | 0.9812        | 0.24  | 3000 | 0.9790          | 0.5196   |
  | 0.9707        | 0.29  | 3500 | 0.9570          | 0.5227   |
  | 0.9575        | 0.33  | 4000 | 0.9498          | 0.5371   |
  | 0.9503        | 0.37  | 4500 | 0.9443          | 0.5468   |
  | 0.9427        | 0.41  | 5000 | 0.9264          | 0.5644   |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  