readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  model-index:
  - name: bert-base-uncased-finetuned-vr-comfort-description-review-epoch15-20221107_2125
    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. -->
  
  # bert-base-uncased-finetuned-vr-comfort-description-review-epoch15-20221107_2125
  
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.0521
  - Accuracy: 0.8443
  - F1: 0.8449
  
  ## 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: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 15
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
  | 0.7304        | 1.0   | 157  | 0.5838          | 0.7521   | 0.6457 |
  | 0.6062        | 2.0   | 314  | 0.5416          | 0.7593   | 0.7487 |
  | 0.4363        | 3.0   | 471  | 0.4852          | 0.8120   | 0.8139 |
  | 0.2679        | 4.0   | 628  | 0.5454          | 0.8204   | 0.8102 |
  | 0.164         | 5.0   | 785  | 0.6908          | 0.8060   | 0.8162 |
  | 0.112         | 6.0   | 942  | 0.7277          | 0.8287   | 0.8304 |
  | 0.0759        | 7.0   | 1099 | 0.9089          | 0.8096   | 0.8192 |
  | 0.0323        | 8.0   | 1256 | 0.8422          | 0.8551   | 0.8524 |
  | 0.0174        | 9.0   | 1413 | 1.0020          | 0.8299   | 0.8357 |
  | 0.0138        | 10.0  | 1570 | 0.9637          | 0.8491   | 0.8473 |
  | 0.0057        | 11.0  | 1727 | 1.0195          | 0.8503   | 0.8411 |
  | 0.0044        | 12.0  | 1884 | 1.0172          | 0.8455   | 0.8462 |
  | 0.0035        | 13.0  | 2041 | 1.0056          | 0.8503   | 0.8487 |
  | 0.002         | 14.0  | 2198 | 1.0554          | 0.8443   | 0.8451 |
  | 0.0014        | 15.0  | 2355 | 1.0521          | 0.8443   | 0.8449 |
  
  
  ### Framework versions
  
  - Transformers 4.13.0
  - Pytorch 1.11.0
  - Datasets 1.16.1
  - Tokenizers 0.10.3
  