readme: ---
  license: cc-by-sa-4.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  model-index:
  - name: deberta-v2-base-japanese-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. -->
  
  # deberta-v2-base-japanese-finetuned-emotion
  
  This model is a fine-tuned version of [ku-nlp/deberta-v2-base-japanese](https://huggingface.co/ku-nlp/deberta-v2-base-japanese) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0465
  - Accuracy: 0.9921
  - F1: 0.9921
  
  ## 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: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 2
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
  | 0.0493        | 1.0   | 806  | 0.0273          | 0.9940   | 0.9940 |
  | 0.0106        | 2.0   | 1612 | 0.0465          | 0.9921   | 0.9921 |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.12.0+cu113
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  