readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: mini-mlm-tweet
    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. -->
  
  # mini-mlm-tweet
  
  This model is a fine-tuned version of [google/bert_uncased_L-4_H-256_A-4](https://huggingface.co/google/bert_uncased_L-4_H-256_A-4) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.1171
  
  ## 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
  - num_epochs: 200
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 3.9227        | 11.11 | 500  | 3.8377          |
  | 3.4825        | 22.22 | 1000 | 3.7411          |
  | 3.2903        | 33.33 | 1500 | 3.8864          |
  | 3.1026        | 44.44 | 2000 | 3.6987          |
  | 2.9438        | 55.56 | 2500 | 3.9807          |
  | 2.8075        | 66.67 | 3000 | 3.8835          |
  | 2.6951        | 77.78 | 3500 | 4.1171          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  