readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: recipe-distilbert-upper-Is
    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-upper-Is
  
  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: 0.8565
  
  ## 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 |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 1.6309        | 1.0   | 1305  | 1.2607          |
  | 1.2639        | 2.0   | 2610  | 1.1291          |
  | 1.1592        | 3.0   | 3915  | 1.0605          |
  | 1.0987        | 4.0   | 5220  | 1.0128          |
  | 1.0569        | 5.0   | 6525  | 0.9796          |
  | 1.0262        | 6.0   | 7830  | 0.9592          |
  | 1.0032        | 7.0   | 9135  | 0.9352          |
  | 0.9815        | 8.0   | 10440 | 0.9186          |
  | 0.967         | 9.0   | 11745 | 0.9086          |
  | 0.9532        | 10.0  | 13050 | 0.8973          |
  | 0.9436        | 11.0  | 14355 | 0.8888          |
  | 0.9318        | 12.0  | 15660 | 0.8835          |
  | 0.9243        | 13.0  | 16965 | 0.8748          |
  | 0.9169        | 14.0  | 18270 | 0.8673          |
  | 0.9117        | 15.0  | 19575 | 0.8610          |
  | 0.9066        | 16.0  | 20880 | 0.8562          |
  | 0.9028        | 17.0  | 22185 | 0.8566          |
  | 0.901         | 18.0  | 23490 | 0.8583          |
  | 0.8988        | 19.0  | 24795 | 0.8557          |
  | 0.8958        | 20.0  | 26100 | 0.8565          |
  
  
  ### Framework versions
  
  - Transformers 4.19.0.dev0
  - Pytorch 1.11.0+cu102
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  