readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: distilbert-base-uncased-scratch-powo_all_pt
    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. -->
  
  # distilbert-base-uncased-scratch-powo_all_pt
  
  This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.7109
  
  ## 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: 5e-05
  - train_batch_size: 5
  - eval_batch_size: 16
  - seed: 42
  - gradient_accumulation_steps: 8
  - total_train_batch_size: 40
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 6.9629        | 0.23  | 200  | 5.9718          |
  | 5.5956        | 0.45  | 400  | 5.5355          |
  | 5.2972        | 0.68  | 600  | 5.3399          |
  | 5.124         | 0.9   | 800  | 5.1975          |
  | 5.0191        | 1.13  | 1000 | 5.1085          |
  | 4.947         | 1.35  | 1200 | 5.0121          |
  | 4.8239        | 1.58  | 1400 | 4.9461          |
  | 4.7335        | 1.8   | 1600 | 4.8962          |
  | 4.7165        | 2.03  | 1800 | 4.8210          |
  | 4.6413        | 2.25  | 2000 | 4.7934          |
  | 4.5922        | 2.48  | 2200 | 4.7665          |
  | 4.6042        | 2.7   | 2400 | 4.7354          |
  | 4.5841        | 2.93  | 2600 | 4.7370          |
  
  
  ### Framework versions
  
  - Transformers 4.20.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  