readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  model-index:
  - name: distilbert-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. -->
  
  # distilbert-base-uncased-emotions-augmented
  
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.6063
  - Accuracy: 0.7789
  - F1: 0.7770
  
  ## 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     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
  | 0.855         | 1.0   | 819  | 0.6448          | 0.7646   | 0.7606 |
  | 0.5919        | 2.0   | 1638 | 0.6067          | 0.7745   | 0.7730 |
  | 0.5077        | 3.0   | 2457 | 0.6063          | 0.7789   | 0.7770 |
  | 0.4364        | 4.0   | 3276 | 0.6342          | 0.7725   | 0.7687 |
  | 0.3698        | 5.0   | 4095 | 0.6832          | 0.7693   | 0.7686 |
  | 0.3153        | 6.0   | 4914 | 0.7364          | 0.7636   | 0.7596 |
  | 0.2723        | 7.0   | 5733 | 0.7578          | 0.7661   | 0.7648 |
  | 0.2429        | 8.0   | 6552 | 0.7816          | 0.7623   | 0.7599 |
  
  
  ### Framework versions
  
  - Transformers 4.22.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.5.1
  - Tokenizers 0.12.1
  