readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  model-index:
  - name: bert-base-uncased-emotions-augmented
    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-emotions-augmented
  
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.9815
  - Accuracy: 0.7539
  - F1: 0.7506
  
  ## 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: 2e-05
  - train_batch_size: 64
  - eval_batch_size: 64
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 8
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
  | 0.8475        | 1.0   | 819  | 0.6336          | 0.7655   | 0.7651 |
  | 0.5594        | 2.0   | 1638 | 0.6109          | 0.7695   | 0.7680 |
  | 0.4596        | 3.0   | 2457 | 0.6528          | 0.7601   | 0.7556 |
  | 0.3663        | 4.0   | 3276 | 0.6992          | 0.7631   | 0.7612 |
  | 0.2809        | 5.0   | 4095 | 0.7773          | 0.7571   | 0.7542 |
  | 0.2142        | 6.0   | 4914 | 0.8879          | 0.7541   | 0.7504 |
  | 0.1671        | 7.0   | 5733 | 0.9476          | 0.7552   | 0.7517 |
  | 0.1416        | 8.0   | 6552 | 0.9815          | 0.7539   | 0.7506 |
  
  
  ### Framework versions
  
  - Transformers 4.22.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.5.1
  - Tokenizers 0.12.1
  