readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: vi-finetuned-squad-qa-minilmv2-8
    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. -->
  
  # vi-finetuned-squad-qa-minilmv2-8
  
  This model is a fine-tuned version of [subhasisj/vi-TAPT-MLM-MiniLM](https://huggingface.co/subhasisj/vi-TAPT-MLM-MiniLM) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.3335
  
  ## 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: 3e-05
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 8
  - total_train_batch_size: 64
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_ratio: 0.1
  - num_epochs: 5
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 2.1669        | 1.0   | 1424 | 1.4979          |
  | 1.2377        | 2.0   | 2848 | 1.3259          |
  | 1.0536        | 3.0   | 4272 | 1.3133          |
  | 0.9568        | 4.0   | 5696 | 1.3103          |
  | 0.8859        | 5.0   | 7120 | 1.3335          |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.2
  - Datasets 2.0.0
  - Tokenizers 0.11.0
  