readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: roberta-base-coffee20230108
    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. -->
  
  # roberta-base-coffee20230108
  
  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.4032
  
  ## 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: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 15
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 89   | 4.5615          |
  | 5.5192        | 2.0   | 178  | 2.8434          |
  | 3.2266        | 3.0   | 267  | 2.2547          |
  | 2.1833        | 4.0   | 356  | 2.3272          |
  | 1.5483        | 5.0   | 445  | 2.3703          |
  | 1.148         | 6.0   | 534  | 2.4088          |
  | 1.0413        | 7.0   | 623  | 2.6734          |
  | 0.6844        | 8.0   | 712  | 2.7058          |
  | 0.5396        | 9.0   | 801  | 2.9746          |
  | 0.5396        | 10.0  | 890  | 3.6085          |
  | 0.3883        | 11.0  | 979  | 3.4980          |
  | 0.2854        | 12.0  | 1068 | 4.0556          |
  | 0.2021        | 13.0  | 1157 | 4.1024          |
  | 0.1797        | 14.0  | 1246 | 4.2926          |
  | 0.1425        | 15.0  | 1335 | 4.4032          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.11.0+cu113
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  