readme: ---
  tags:
  - generated_from_trainer
  language: ja
  widget:
  - text: "🤗セグメント利益は、前期比8.3％増の24億28百万円となった"
  metrics:
  - accuracy
  - f1
  model-index:
  - name: Japanese-sentiment-analysis
    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. -->
  
  # japanese-sentiment-analysis
  
  This model was trained from scratch on the chABSA dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0001
  - Accuracy: 1.0
  - F1: 1.0
  
  ## Model description
  
  Model Train for Japanese sentence sentiments.
  
  ## Intended uses & limitations
  
  The model was trained on chABSA Japanese dataset.
  DATASET link : https://www.kaggle.com/datasets/takahirokubo0/chabsa
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 2e-05
  - train_batch_size: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  
  ### Training results
  
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.0
  - Tokenizers 0.13.2
  