readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - precision
  - recall
  - f1
  model-index:
  - name: hasoc19-bert-base-multilingual-cased-sentiment-new
    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. -->
  
  # hasoc19-bert-base-multilingual-cased-sentiment-new
  
  This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4758
  - Accuracy: 0.8501
  - Precision: 0.8524
  - Recall: 0.8501
  - F1: 0.8507
  
  ## 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: 1e-05
  - train_batch_size: 32
  - eval_batch_size: 32
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 6
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
  | 0.4987        | 1.0   | 537  | 0.3931          | 0.8249   | 0.8304    | 0.8249 | 0.8208 |
  | 0.3676        | 2.0   | 1074 | 0.3513          | 0.8417   | 0.8487    | 0.8417 | 0.8427 |
  | 0.2883        | 3.0   | 1611 | 0.3604          | 0.8475   | 0.8484    | 0.8475 | 0.8478 |
  | 0.235         | 4.0   | 2148 | 0.3929          | 0.8501   | 0.8509    | 0.8501 | 0.8504 |
  | 0.1859        | 5.0   | 2685 | 0.4413          | 0.8449   | 0.8451    | 0.8449 | 0.8450 |
  | 0.1563        | 6.0   | 3222 | 0.4758          | 0.8501   | 0.8524    | 0.8501 | 0.8507 |
  
  
  ### Framework versions
  
  - Transformers 4.24.0.dev0
  - Pytorch 1.11.0+cu102
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  