readme: ---
  language:
  - en
  license: mit
  tags:
  - generated_from_trainer
  - deberta-v3
  datasets:
  - glue
  metrics:
  - accuracy
  - f1
  model-index:
  - name: deberta-v3-small
    results:
    - task:
        type: text-classification
        name: Text Classification
      dataset:
        name: GLUE MRPC
        type: glue
        args: mrpc
      metrics:
      - type: accuracy
        value: 0.8921568627450981
        name: Accuracy
      - type: f1
        value: 0.9233449477351917
        name: F1
    - task:
        type: natural-language-inference
        name: Natural Language Inference
      dataset:
        name: glue
        type: glue
        config: mrpc
        split: validation
      metrics:
      - type: accuracy
        value: 0.8921568627450981
        name: Accuracy
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZmQ3MjM2NTJiZjJmM2UxYTlmMDczOTQ2MjY4OTdhZTAyM2RiMTc2YjZiNWIwZDk1ZGUxMjgzMDBiOWVjZTQ4OCIsInZlcnNpb24iOjF9.yerN7Izy0yT3ykyO3t5Mr-TO3oxpTMfijCWJKnA_XO_rt81LP3-9qbqknXur6ahHqKN-1BLtr_fmAu0-IPQyDA
      - type: precision
        value: 0.8983050847457628
        name: Precision
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZWQxODVmYTM4OThlMjNhY2MzZTBhMWJmMmNjMDMyYjYyNzc4NWI3YzJjZDkzMTcyOWEwN2IxOWYyOGQ5NTY5MSIsInZlcnNpb24iOjF9.cfqvd8wnSqhHj5fKlIb6JN9He8ooAu94tFJytw2I93qqGSVvaTktM0Ib_DqPuHYneGY1DGbgb6Nsl90DiZSMCQ
      - type: recall
        value: 0.9498207885304659
        name: Recall
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjg3Y2Y1NGY0NTRjMWFhYTAxMWYxMTcxNWM2ZDU5NGY1ZTk3OTJmZWQyYmIzMGJiZWQ0YWQ2MjNhOGU2MGU0ZCIsInZlcnNpb24iOjF9.jj7VNaWQU3u3tnngqCixlfkwF8h6ykzvHm4tgezJe1pacAU0Tsugn7IPvAJTrvNE0sU8_Q7dm-C_UKQGzmlIBw
      - type: auc
        value: 0.9516129032258065
        name: AUC
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMDhkOTQ0ZmVlYTYwNTdjY2IxYTM5ZThhYzgzZWMxMGQzMThmZDkwNTcyMWZiNzg4Y2I3NjZhMzVjYmNmN2FlZiIsInZlcnNpb24iOjF9.28hOJFgnyNHXMpaFbNTEcolUcuNVqrXNSuT6hTs2vrjlAIWVnzxUfaHjH2kVYh1-sOSNSE9maetd1CtQ7i78CQ
      - type: f1
        value: 0.9233449477351917
        name: F1
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZmY0ZWE5Y2Q5YmZlOWM4OTU0OGIwOWEwNDk3MTlkYTY5YzgwMjQwNDFjYWU4ZDdmZWY4Nzc0MzQzMTM2YTRhYyIsInZlcnNpb24iOjF9.NymiR2fVXaI6ytAGZFM8HuQLxTJlxuUsWziVNaauyuJ9xfOLOGVJ6VI_H7CoBwc-pZKbKiQOvtfpOGwt1J22CA
      - type: loss
        value: 0.2787226438522339
        name: loss
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGNhMDgyMGI3ZWI4NDVkYzM0NjE1ZTk0YjczYzU4NmRhOGYxM2RlMjU3YThhY2QzNmU3NmJhM2IzMWI5MDMwNyIsInZlcnNpb24iOjF9.HFdpBkvu0671KUgkOtpSgeGBr3wU7g51zVt3-wEwVWhS4hMX4oPFAqF4JBxFx3mgbGjTDiRQ2xiA5lm0UnkdCg
  ---
  
  <!-- 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) fine-tuned on MRPC
  
  This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the GLUE MRPC dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2787
  - Accuracy: 0.8922
  - F1: 0.9233
  - Combined Score: 0.9078
  
  ## 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: 3e-05
  - train_batch_size: 16
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10.0
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Combined Score |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:|
  | No log        | 1.0   | 230  | 0.2787          | 0.8922   | 0.9233 | 0.9078         |
  | No log        | 2.0   | 460  | 0.3651          | 0.875    | 0.9137 | 0.8944         |
  | No log        | 3.0   | 690  | 0.5238          | 0.8799   | 0.9179 | 0.8989         |
  | No log        | 4.0   | 920  | 0.4712          | 0.8946   | 0.9222 | 0.9084         |
  | 0.2147        | 5.0   | 1150 | 0.5704          | 0.8946   | 0.9262 | 0.9104         |
  | 0.2147        | 6.0   | 1380 | 0.5697          | 0.8995   | 0.9284 | 0.9140         |
  | 0.2147        | 7.0   | 1610 | 0.6651          | 0.8922   | 0.9214 | 0.9068         |
  | 0.2147        | 8.0   | 1840 | 0.6726          | 0.8946   | 0.9239 | 0.9093         |
  | 0.0183        | 9.0   | 2070 | 0.7250          | 0.8848   | 0.9177 | 0.9012         |
  | 0.0183        | 10.0  | 2300 | 0.7093          | 0.8922   | 0.9223 | 0.9072         |
  
  
  ### Framework versions
  
  - Transformers 4.13.0.dev0
  - Pytorch 1.10.0+cu111
  - Datasets 1.15.1
  - Tokenizers 0.10.3
  