readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: deberta-v3-small-test_ver1
    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. -->
  
  # deberta-v3-small-test_ver1
  
  This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.7818
  - Pearson: 0.8125
  
  ## 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: 5
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Pearson |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|
  | 0.8486        | 1.0   | 2052  | 0.7806          | 0.7692  |
  | 0.6951        | 2.0   | 4104  | 0.7546          | 0.7934  |
  | 0.5971        | 3.0   | 6156  | 0.7366          | 0.8085  |
  | 0.4998        | 4.0   | 8208  | 0.7407          | 0.8136  |
  | 0.4407        | 5.0   | 10260 | 0.7818          | 0.8125  |
  
  
  ### Framework versions
  
  - Transformers 4.22.2
  - Pytorch 1.12.1+cu113
  - Datasets 2.5.2
  - Tokenizers 0.12.1
  