readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  model-index:
  - name: small-mlm-snli-from-scratch-custom-tokenizer-target-rotten_tomatoes
    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-snli-from-scratch-custom-tokenizer-target-rotten_tomatoes
  
  This model is a fine-tuned version of [muhtasham/small-mlm-snli-from-scratch-custom-tokenizer](https://huggingface.co/muhtasham/small-mlm-snli-from-scratch-custom-tokenizer) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.1833
  - Accuracy: 0.7101
  - F1: 0.7090
  
  ## 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     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
  | 0.6628        | 1.87  | 500  | 0.6389          | 0.6388   | 0.6187 |
  | 0.4993        | 3.75  | 1000 | 0.6044          | 0.6970   | 0.6938 |
  | 0.4205        | 5.62  | 1500 | 0.6342          | 0.7261   | 0.7251 |
  | 0.3604        | 7.49  | 2000 | 0.7069          | 0.7270   | 0.7254 |
  | 0.3034        | 9.36  | 2500 | 0.8202          | 0.6989   | 0.6974 |
  | 0.2358        | 11.24 | 3000 | 0.8650          | 0.7111   | 0.7103 |
  | 0.1804        | 13.11 | 3500 | 1.1833          | 0.7101   | 0.7090 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.1+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  