readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - precision
  - recall
  - f1
  model-index:
  - name: hasoc19-bert-base-multilingual-cased-targinsult1
    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-targinsult1
  
  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: 1.1105
  - Accuracy: 0.6920
  - Precision: 0.6630
  - Recall: 0.6523
  - F1: 0.6559
  
  ## 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: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
  | No log        | 1.0   | 263  | 0.5820          | 0.6820   | 0.6704    | 0.5890 | 0.5768 |
  | 0.5841        | 2.0   | 526  | 0.5826          | 0.7025   | 0.6972    | 0.6196 | 0.6179 |
  | 0.5841        | 3.0   | 789  | 0.5732          | 0.7029   | 0.6810    | 0.6863 | 0.6831 |
  | 0.4583        | 4.0   | 1052 | 0.6151          | 0.7063   | 0.6797    | 0.6712 | 0.6744 |
  | 0.4583        | 5.0   | 1315 | 0.6998          | 0.7034   | 0.6773    | 0.6732 | 0.6750 |
  | 0.3201        | 6.0   | 1578 | 0.7943          | 0.6892   | 0.6679    | 0.6744 | 0.6701 |
  | 0.3201        | 7.0   | 1841 | 0.9488          | 0.6873   | 0.6565    | 0.6386 | 0.6428 |
  | 0.207         | 8.0   | 2104 | 1.0036          | 0.6844   | 0.6563    | 0.6529 | 0.6544 |
  | 0.207         | 9.0   | 2367 | 1.0690          | 0.6906   | 0.6617    | 0.6532 | 0.6562 |
  | 0.1517        | 10.0  | 2630 | 1.1105          | 0.6920   | 0.6630    | 0.6523 | 0.6559 |
  
  
  ### Framework versions
  
  - Transformers 4.24.0.dev0
  - Pytorch 1.11.0+cu102
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  