readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - spearmanr
  model-index:
  - name: M6_cross
    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. -->
  
  # M6_cross
  
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0084
  - Pearson: 0.9811
  - Spearmanr: 0.9075
  
  ## 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: 20
  - eval_batch_size: 20
  - seed: 25
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 6.0
  - num_epochs: 5
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|
  | 0.0059        | 1.0   | 105  | 0.0158          | 0.9633  | 0.9054    |
  | 0.001         | 2.0   | 210  | 0.0102          | 0.9770  | 0.9103    |
  | 0.0008        | 3.0   | 315  | 0.0083          | 0.9805  | 0.9052    |
  | 0.0011        | 4.0   | 420  | 0.0075          | 0.9812  | 0.9082    |
  | 0.0017        | 5.0   | 525  | 0.0084          | 0.9811  | 0.9075    |
  
  
  ### Framework versions
  
  - Transformers 4.20.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  