readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - precision
  - recall
  - f1
  model-index:
  - name: hasoc19-bert-base-multilingual-cased-HatredStatement-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-HatredStatement-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: 0.6565
  - Accuracy: 0.7319
  - Precision: 0.7320
  - Recall: 0.7319
  - F1: 0.7307
  
  ## 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     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
  | No log        | 1.0   | 296  | 0.5540          | 0.7110   | 0.7147    | 0.7110 | 0.7067 |
  | 0.5551        | 2.0   | 592  | 0.5345          | 0.7224   | 0.7673    | 0.7224 | 0.7038 |
  | 0.5551        | 3.0   | 888  | 0.5752          | 0.7272   | 0.7430    | 0.7272 | 0.7183 |
  | 0.4252        | 4.0   | 1184 | 0.5697          | 0.7376   | 0.7384    | 0.7376 | 0.7359 |
  | 0.4252        | 5.0   | 1480 | 0.6335          | 0.7319   | 0.7388    | 0.7319 | 0.7269 |
  | 0.3401        | 6.0   | 1776 | 0.6565          | 0.7319   | 0.7320    | 0.7319 | 0.7307 |
  
  
  ### Framework versions
  
  - Transformers 4.24.0.dev0
  - Pytorch 1.11.0+cu102
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  