readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  model-index:
  - name: tiny-mlm-tweet_eval-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. -->
  
  # tiny-mlm-tweet_eval-from-scratch-custom-tokenizer-target-rotten_tomatoes
  
  This model is a fine-tuned version of [muhtasham/tiny-mlm-tweet_eval-from-scratch-custom-tokenizer](https://huggingface.co/muhtasham/tiny-mlm-tweet_eval-from-scratch-custom-tokenizer) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.8231
  - Accuracy: 0.7411
  - F1: 0.7411
  
  ## 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     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
  | 0.6934        | 1.87  | 500  | 0.6934          | 0.5      | 0.3333 |
  | 0.6926        | 3.75  | 1000 | 0.6889          | 0.5347   | 0.4338 |
  | 0.5447        | 5.62  | 1500 | 0.5816          | 0.7298   | 0.7285 |
  | 0.3766        | 7.49  | 2000 | 0.5989          | 0.7364   | 0.7363 |
  | 0.3119        | 9.36  | 2500 | 0.6346          | 0.7467   | 0.7466 |
  | 0.265         | 11.24 | 3000 | 0.6979          | 0.7430   | 0.7429 |
  | 0.2287        | 13.11 | 3500 | 0.7540          | 0.7420   | 0.7416 |
  | 0.1984        | 14.98 | 4000 | 0.8231          | 0.7411   | 0.7411 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.1+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  