readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: recipe-distilbert-i
    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. -->
  
  # recipe-distilbert-i
  
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.0288
  
  ## 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: 256
  - eval_batch_size: 256
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 20
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 2.3931        | 1.0   | 152  | 1.7738          |
  | 1.7533        | 2.0   | 304  | 1.5109          |
  | 1.5584        | 3.0   | 456  | 1.4003          |
  | 1.443         | 4.0   | 608  | 1.3296          |
  | 1.3551        | 5.0   | 760  | 1.2270          |
  | 1.2981        | 6.0   | 912  | 1.1870          |
  | 1.2577        | 7.0   | 1064 | 1.1511          |
  | 1.2216        | 8.0   | 1216 | 1.1298          |
  | 1.1958        | 9.0   | 1368 | 1.1087          |
  | 1.1685        | 10.0  | 1520 | 1.0858          |
  | 1.1533        | 11.0  | 1672 | 1.0820          |
  | 1.1358        | 12.0  | 1824 | 1.0659          |
  | 1.1286        | 13.0  | 1976 | 1.0382          |
  | 1.1128        | 14.0  | 2128 | 1.0468          |
  | 1.11          | 15.0  | 2280 | 1.0399          |
  | 1.094         | 16.0  | 2432 | 1.0382          |
  | 1.0969        | 17.0  | 2584 | 1.0096          |
  | 1.0868        | 18.0  | 2736 | 1.0235          |
  | 1.0845        | 19.0  | 2888 | 1.0227          |
  | 1.0855        | 20.0  | 3040 | 1.0288          |
  
  
  ### Framework versions
  
  - Transformers 4.19.0.dev0
  - Pytorch 1.11.0+cu102
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  