readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: paraphrase-multilingual-MiniLM-L12-v2-finetuned-DIT-10_epochs
    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-MiniLM-L12-v2-finetuned-DIT-10_epochs
  
  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: 4.6933
  
  ## 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: 8
  - eval_batch_size: 8
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 91   | 9.1280          |
  | No log        | 2.0   | 182  | 7.7624          |
  | No log        | 3.0   | 273  | 6.8875          |
  | No log        | 4.0   | 364  | 6.2064          |
  | No log        | 5.0   | 455  | 5.6836          |
  | 7.584         | 6.0   | 546  | 5.2978          |
  | 7.584         | 7.0   | 637  | 5.0191          |
  | 7.584         | 8.0   | 728  | 4.8337          |
  | 7.584         | 9.0   | 819  | 4.7284          |
  | 7.584         | 10.0  | 910  | 4.6933          |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.10.2+cpu
  - Datasets 2.0.0
  - Tokenizers 0.11.6
  