readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: tiny-mlm-glue-sst2-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. -->
  
  # tiny-mlm-glue-sst2-from-scratch-custom-tokenizer-target-glue-mnli
  
  This model is a fine-tuned version of [muhtasham/tiny-mlm-glue-sst2-from-scratch-custom-tokenizer](https://huggingface.co/muhtasham/tiny-mlm-glue-sst2-from-scratch-custom-tokenizer) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.0169
  - Accuracy: 0.4786
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 1.0989        | 0.04  | 500  | 1.0972          | 0.3728   |
  | 1.0902        | 0.08  | 1000 | 1.0817          | 0.3793   |
  | 1.0758        | 0.12  | 1500 | 1.0706          | 0.4141   |
  | 1.0575        | 0.16  | 2000 | 1.0509          | 0.4302   |
  | 1.047         | 0.2   | 2500 | 1.0374          | 0.4488   |
  | 1.0395        | 0.24  | 3000 | 1.0324          | 0.4532   |
  | 1.0332        | 0.29  | 3500 | 1.0350          | 0.4408   |
  | 1.0226        | 0.33  | 4000 | 1.0232          | 0.4656   |
  | 1.0154        | 0.37  | 4500 | 1.0191          | 0.4740   |
  | 1.013         | 0.41  | 5000 | 1.0169          | 0.4786   |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  