readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: recipe-distilroberta-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-distilroberta-Is
  
  This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.7427
  
  ## 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: 128
  - eval_batch_size: 128
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 25
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 19.6191       | 1.0   | 2135  | 10.5217         |
  | 8.6838        | 2.0   | 4270  | 7.3017          |
  | 6.884         | 3.0   | 6405  | 6.4445          |
  | 6.2953        | 4.0   | 8540  | 6.0610          |
  | 6.0205        | 5.0   | 10675 | 5.9047          |
  | 5.851         | 6.0   | 12810 | 5.7790          |
  | 5.7464        | 7.0   | 14945 | 5.7164          |
  | 5.6684        | 8.0   | 17080 | 5.6415          |
  | 5.6138        | 9.0   | 19215 | 5.5671          |
  | 5.5638        | 10.0  | 21350 | 5.5360          |
  | 5.5288        | 11.0  | 23485 | 5.5069          |
  | 5.4968        | 12.0  | 25620 | 5.4968          |
  | 5.4696        | 13.0  | 27755 | 5.4539          |
  | 5.4468        | 14.0  | 29890 | 5.4416          |
  | 5.4177        | 15.0  | 32025 | 5.3722          |
  | 5.3717        | 16.0  | 34160 | 5.3226          |
  | 5.317         | 17.0  | 36295 | 5.2197          |
  | 5.2367        | 18.0  | 38430 | 5.0888          |
  | 5.1543        | 19.0  | 40565 | 4.9954          |
  | 5.0919        | 20.0  | 42700 | 4.9306          |
  | 5.038         | 21.0  | 44835 | 4.8657          |
  | 4.9983        | 22.0  | 46970 | 4.8137          |
  | 4.9639        | 23.0  | 49105 | 4.7704          |
  | 4.9426        | 24.0  | 51240 | 4.7486          |
  | 4.9312        | 25.0  | 53375 | 4.7427          |
  
  
  ### Framework versions
  
  - Transformers 4.19.0.dev0
  - Pytorch 1.9.0+cu111
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  