readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: Clickbait3
    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. -->
  
  # Clickbait3
  
  This model is a fine-tuned version of [microsoft/Multilingual-MiniLM-L12-H384](https://huggingface.co/microsoft/Multilingual-MiniLM-L12-H384) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0248
  
  ## 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: 5e-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: 4
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 0.05  | 50   | 0.0373          |
  | No log        | 0.1   | 100  | 0.0320          |
  | No log        | 0.15  | 150  | 0.0295          |
  | No log        | 0.21  | 200  | 0.0302          |
  | No log        | 0.26  | 250  | 0.0331          |
  | No log        | 0.31  | 300  | 0.0280          |
  | No log        | 0.36  | 350  | 0.0277          |
  | No log        | 0.41  | 400  | 0.0316          |
  | No log        | 0.46  | 450  | 0.0277          |
  | 0.0343        | 0.51  | 500  | 0.0276          |
  | 0.0343        | 0.56  | 550  | 0.0282          |
  | 0.0343        | 0.62  | 600  | 0.0280          |
  | 0.0343        | 0.67  | 650  | 0.0271          |
  | 0.0343        | 0.72  | 700  | 0.0264          |
  | 0.0343        | 0.77  | 750  | 0.0265          |
  | 0.0343        | 0.82  | 800  | 0.0260          |
  | 0.0343        | 0.87  | 850  | 0.0263          |
  | 0.0343        | 0.92  | 900  | 0.0259          |
  | 0.0343        | 0.97  | 950  | 0.0277          |
  | 0.0278        | 1.03  | 1000 | 0.0281          |
  | 0.0278        | 1.08  | 1050 | 0.0294          |
  | 0.0278        | 1.13  | 1100 | 0.0256          |
  | 0.0278        | 1.18  | 1150 | 0.0258          |
  | 0.0278        | 1.23  | 1200 | 0.0254          |
  | 0.0278        | 1.28  | 1250 | 0.0265          |
  | 0.0278        | 1.33  | 1300 | 0.0252          |
  | 0.0278        | 1.38  | 1350 | 0.0251          |
  | 0.0278        | 1.44  | 1400 | 0.0264          |
  | 0.0278        | 1.49  | 1450 | 0.0262          |
  | 0.023         | 1.54  | 1500 | 0.0272          |
  | 0.023         | 1.59  | 1550 | 0.0278          |
  | 0.023         | 1.64  | 1600 | 0.0255          |
  | 0.023         | 1.69  | 1650 | 0.0258          |
  | 0.023         | 1.74  | 1700 | 0.0262          |
  | 0.023         | 1.79  | 1750 | 0.0250          |
  | 0.023         | 1.85  | 1800 | 0.0253          |
  | 0.023         | 1.9   | 1850 | 0.0271          |
  | 0.023         | 1.95  | 1900 | 0.0248          |
  | 0.023         | 2.0   | 1950 | 0.0258          |
  | 0.0224        | 2.05  | 2000 | 0.0252          |
  | 0.0224        | 2.1   | 2050 | 0.0259          |
  | 0.0224        | 2.15  | 2100 | 0.0254          |
  | 0.0224        | 2.21  | 2150 | 0.0260          |
  | 0.0224        | 2.26  | 2200 | 0.0254          |
  | 0.0224        | 2.31  | 2250 | 0.0266          |
  | 0.0224        | 2.36  | 2300 | 0.0258          |
  | 0.0224        | 2.41  | 2350 | 0.0258          |
  | 0.0224        | 2.46  | 2400 | 0.0256          |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.11.0
  - Datasets 2.0.0
  - Tokenizers 0.11.6
  