readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - emotion
  model-index:
  - name: bert-base-uncased-issues-128
    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-base-uncased-issues-128
  
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the emotion dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.3196
  
  ## 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: 5e-05
  - train_batch_size: 32
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 16
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 2.6586        | 1.0   | 500  | 2.4203          |
  | 2.4655        | 2.0   | 1000 | 2.3889          |
  | 2.3769        | 3.0   | 1500 | 2.3279          |
  | 2.3024        | 4.0   | 2000 | 2.3623          |
  | 2.2178        | 5.0   | 2500 | 2.4500          |
  | 2.1352        | 6.0   | 3000 | 2.3042          |
  | 2.0793        | 7.0   | 3500 | 2.3053          |
  | 2.0462        | 8.0   | 4000 | 2.2402          |
  | 1.9886        | 9.0   | 4500 | 2.3407          |
  | 1.9393        | 10.0  | 5000 | 2.2826          |
  | 1.904         | 11.0  | 5500 | 2.3401          |
  | 1.8742        | 12.0  | 6000 | 2.3276          |
  | 1.8441        | 13.0  | 6500 | 2.2815          |
  | 1.8082        | 14.0  | 7000 | 2.2739          |
  | 1.8058        | 15.0  | 7500 | 2.3225          |
  | 1.7951        | 16.0  | 8000 | 2.2933          |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.12.0+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  