readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: outputs
    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. -->
  
  # outputs
  
  This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0224
  - Pearson: 0.8314
  
  ## 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: 8e-05
  - train_batch_size: 128
  - eval_batch_size: 256
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: cosine
  - lr_scheduler_warmup_ratio: 0.1
  - num_epochs: 7
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Pearson |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|
  | No log        | 1.0   | 214  | 0.0256          | 0.7816  |
  | No log        | 2.0   | 428  | 0.0251          | 0.8115  |
  | 0.0355        | 3.0   | 642  | 0.0257          | 0.8186  |
  | 0.0355        | 4.0   | 856  | 0.0220          | 0.8255  |
  | 0.0133        | 5.0   | 1070 | 0.0226          | 0.8287  |
  | 0.0133        | 6.0   | 1284 | 0.0220          | 0.8321  |
  | 0.0133        | 7.0   | 1498 | 0.0224          | 0.8314  |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.1
  - Tokenizers 0.12.1
  