readme: ---
  license: apache-2.0
  tags:
  - mlm
  - generated_from_trainer
  model-index:
  - name: article2keyword2.1b_paraphrase-multilingual-MiniLM-L12-v2_finetuned_for_mlm
    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. -->
  
  # article2keyword2.1b_paraphrase-multilingual-MiniLM-L12-v2_finetuned_for_mlm
  
  This model is a fine-tuned version of [sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0673
  
  ## 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: 16
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 2.3777        | 1.0   | 1353  | 0.3168          |
  | 0.2358        | 2.0   | 2706  | 0.1564          |
  | 0.1372        | 3.0   | 4059  | 0.1149          |
  | 0.1046        | 4.0   | 5412  | 0.0956          |
  | 0.086         | 5.0   | 6765  | 0.0853          |
  | 0.0741        | 6.0   | 8118  | 0.0786          |
  | 0.0653        | 7.0   | 9471  | 0.0750          |
  | 0.0594        | 8.0   | 10824 | 0.0726          |
  | 0.0542        | 9.0   | 12177 | 0.0699          |
  | 0.0504        | 10.0  | 13530 | 0.0692          |
  | 0.047         | 11.0  | 14883 | 0.0684          |
  | 0.0444        | 12.0  | 16236 | 0.0675          |
  | 0.0423        | 13.0  | 17589 | 0.0674          |
  | 0.0404        | 14.0  | 18942 | 0.0673          |
  | 0.0392        | 15.0  | 20295 | 0.0672          |
  | 0.0379        | 16.0  | 21648 | 0.0673          |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.11.0
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  