readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bert-small-mlm-finetuned-emotion
    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. -->
  
  # bert-small-mlm-finetuned-emotion
  
  This model is a fine-tuned version of [google/bert_uncased_L-4_H-512_A-8](https://huggingface.co/google/bert_uncased_L-4_H-512_A-8) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.7413
  
  ## 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: 128
  - eval_batch_size: 128
  - 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 |
  |:-------------:|:------:|:----:|:---------------:|
  | 2.8418        | 22.73  | 500  | 2.7035          |
  | 2.5706        | 45.45  | 1000 | 2.6968          |
  | 2.4199        | 68.18  | 1500 | 2.6595          |
  | 2.2901        | 90.91  | 2000 | 2.7323          |
  | 2.1793        | 113.64 | 2500 | 2.7560          |
  | 2.0651        | 136.36 | 3000 | 2.7413          |
  
  
  ### Framework versions
  
  - Transformers 4.25.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  