readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: my_qa_model_1
    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. -->
  
  # my_qa_model_1
  
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.4752
  
  ## 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: 1
  - eval_batch_size: 1
  - seed: 42
  - gradient_accumulation_steps: 16
  - total_train_batch_size: 16
  - 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        | 0.96  | 3    | 5.6227          |
  | No log        | 1.96  | 6    | 5.1169          |
  | No log        | 2.96  | 9    | 4.5577          |
  | No log        | 3.96  | 12   | 3.9969          |
  | No log        | 4.96  | 15   | 3.5279          |
  | No log        | 5.96  | 18   | 3.1371          |
  | No log        | 6.96  | 21   | 2.8468          |
  | No log        | 7.96  | 24   | 2.6456          |
  | No log        | 8.96  | 27   | 2.5241          |
  | No log        | 9.96  | 30   | 2.4752          |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.13.0
  - Datasets 1.16.1
  - Tokenizers 0.10.3
  