readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: bert-cvs-estimation-years-experience
    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-cvs-estimation-years-experience
  
  This model is a fine-tuned version of [jhonparra18/bert-base-cased-cv-studio_name-medium](https://huggingface.co/jhonparra18/bert-base-cased-cv-studio_name-medium) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 9.4494
  - Mse: 9.4494
  - Mae: 2.0686
  - R2: 0.4131
  - Accuracy: 0.2586
  
  ## 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: 20
  - num_epochs: 50
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Mse     | Mae    | R2     | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:--------:|
  | No log        | 10.34 | 300  | 10.5131         | 10.5131 | 2.2140 | 0.3470 | 0.2759   |
  | 3.3802        | 20.69 | 600  | 9.1915          | 9.1915  | 2.0780 | 0.4291 | 0.2759   |
  | 3.3802        | 31.03 | 900  | 8.8261          | 8.8261  | 1.9359 | 0.4518 | 0.2931   |
  | 0.1613        | 41.38 | 1200 | 9.4494          | 9.4494  | 2.0686 | 0.4131 | 0.2586   |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.12.0+cu102
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  