readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: paraphrase-multilingual-mpnet-base-v2-tuned-smartcat
    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. -->
  
  # paraphrase-multilingual-mpnet-base-v2-tuned-smartcat
  
  This model is a fine-tuned version of [sentence-transformers/paraphrase-multilingual-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0000
  
  ## 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: 6
  - eval_batch_size: 6
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 2
  
  ### Training results
  
  | Training Loss | Epoch | Step   | Validation Loss |
  |:-------------:|:-----:|:------:|:---------------:|
  | 0.0072        | 0.16  | 10000  | 0.0025          |
  | 0.0014        | 0.32  | 20000  | 0.0005          |
  | 0.0004        | 0.48  | 30000  | 0.0002          |
  | 0.0002        | 0.64  | 40000  | 0.0001          |
  | 0.0003        | 0.81  | 50000  | 0.0001          |
  | 0.0002        | 0.97  | 60000  | 0.0000          |
  | 0.0001        | 1.13  | 70000  | 0.0000          |
  | 0.0001        | 1.29  | 80000  | 0.0000          |
  | 0.0001        | 1.45  | 90000  | 0.0000          |
  | 0.0001        | 1.61  | 100000 | 0.0000          |
  | 0.0           | 1.77  | 110000 | 0.0000          |
  | 0.0           | 1.93  | 120000 | 0.0000          |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0+cu102
  - Datasets 2.2.1
  - Tokenizers 0.12.1
  