readme: ---
  license: cc-by-sa-4.0
  tags:
  - generated_from_trainer
  metrics:
  - precision
  - recall
  - f1
  model-index:
  - name: roberta-base-japanese-finetuned-waseda
    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. -->
  
  # roberta-base-japanese-finetuned-waseda
  
  This model is a fine-tuned version of [nlp-waseda/roberta-base-japanese](https://huggingface.co/nlp-waseda/roberta-base-japanese) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.0131
  - Precision: 0.7723
  - Recall: 0.7753
  - F1: 0.7734
  
  ## 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: 4
  - eval_batch_size: 4
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
  | No log        | 1.0   | 447  | 0.6038          | 0.7723    | 0.7595 | 0.7401 |
  | 0.7409        | 2.0   | 894  | 0.8753          | 0.7354    | 0.7278 | 0.7108 |
  | 0.6123        | 3.0   | 1341 | 1.0131          | 0.7723    | 0.7753 | 0.7734 |
  | 0.4409        | 4.0   | 1788 | 1.3316          | 0.7738    | 0.7595 | 0.7648 |
  | 0.2436        | 5.0   | 2235 | 1.3669          | 0.7684    | 0.7563 | 0.7614 |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  