readme: ---
  language:
  - en
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - glue
  metrics:
  - spearmanr
  model-index:
  - name: distilbert_add_GLUE_Experiment_stsb_96
    results:
    - task:
        name: Text Classification
        type: text-classification
      dataset:
        name: GLUE STSB
        type: glue
        config: stsb
        split: validation
        args: stsb
      metrics:
      - name: Spearmanr
        type: spearmanr
        value: .nan
  ---
  
  <!-- 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. -->
  
  # distilbert_add_GLUE_Experiment_stsb_96
  
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the GLUE STSB dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.2529
  - Pearson: nan
  - Spearmanr: nan
  - Combined Score: nan
  
  ## 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: 256
  - eval_batch_size: 256
  - seed: 10
  - distributed_type: multi-GPU
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 50
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | Combined Score |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
  | 8.7243        | 1.0   | 23   | 6.6928          | nan     | nan       | nan            |
  | 7.9215        | 2.0   | 46   | 6.2710          | nan     | nan       | nan            |
  | 7.4296        | 3.0   | 69   | 5.8601          | nan     | nan       | nan            |
  | 6.9483        | 4.0   | 92   | 5.4460          | nan     | nan       | nan            |
  | 6.4768        | 5.0   | 115  | 5.0440          | nan     | nan       | nan            |
  | 5.9658        | 6.0   | 138  | 4.6523          | nan     | nan       | nan            |
  | 5.5067        | 7.0   | 161  | 4.2735          | nan     | nan       | nan            |
  | 5.0622        | 8.0   | 184  | 3.9107          | nan     | nan       | nan            |
  | 4.6133        | 9.0   | 207  | 3.5725          | nan     | nan       | nan            |
  | 4.2011        | 10.0  | 230  | 3.2630          | nan     | nan       | nan            |
  | 3.7839        | 11.0  | 253  | 2.9896          | nan     | nan       | nan            |
  | 3.4525        | 12.0  | 276  | 2.7549          | 0.0063  | 0.0066    | 0.0064         |
  | 3.1246        | 13.0  | 299  | 2.5637          | -0.0161 | -0.0155   | -0.0158        |
  | 2.8674        | 14.0  | 322  | 2.4155          | nan     | nan       | nan            |
  | 2.6317        | 15.0  | 345  | 2.3138          | nan     | nan       | nan            |
  | 2.4623        | 16.0  | 368  | 2.2596          | nan     | nan       | nan            |
  | 2.3397        | 17.0  | 391  | 2.2529          | nan     | nan       | nan            |
  | 2.2455        | 18.0  | 414  | 2.2910          | nan     | nan       | nan            |
  | 2.1984        | 19.0  | 437  | 2.3424          | nan     | nan       | nan            |
  | 2.1869        | 20.0  | 460  | 2.3424          | nan     | nan       | nan            |
  | 2.1982        | 21.0  | 483  | 2.3460          | nan     | nan       | nan            |
  | 2.195         | 22.0  | 506  | 2.3664          | -0.0023 | 0.0002    | -0.0011        |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.14.0a0+410ce96
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  