sguskin's picture
Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator (#2)
6451b68
metadata
language:
  - en
license: mit
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - accuracy
  - f1
model-index:
  - name: camembert-base-mrpc
    results:
      - task:
          type: text-classification
          name: Text Classification
        dataset:
          name: GLUE MRPC
          type: glue
          args: mrpc
        metrics:
          - type: accuracy
            value: 0.8504901960784313
            name: Accuracy
          - type: f1
            value: 0.8927943760984183
            name: F1
      - task:
          type: natural-language-inference
          name: Natural Language Inference
        dataset:
          name: glue
          type: glue
          config: mrpc
          split: validation
        metrics:
          - type: accuracy
            value: 0.8504901960784313
            name: Accuracy
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNWJjOGZiMzBlNjhhNTZlMjEzNTE5MDM2OTJmYzZhZTE2YzE0MWM0ZmY2Zjk5ZTkxYWE0NTEyMDVlMDI5N2MwZiIsInZlcnNpb24iOjF9.dLsmgphn4jg1LbcOwDagIBRtQJ3spLTOcPxOpVnNqE-oU6ttKxW-Ypg7arQxOV-swVu4xpl3SDGaqEDE5sZnCw
          - type: precision
            value: 0.8758620689655172
            name: Precision
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiM2ZiY2ZiODZmOTJkN2I4YzYxY2NmMDc1NzQyMmI0MTI0MDlmYzkzNDhjMTA4NmIzNzNjNjE4NmMwMjI1MDRjMyIsInZlcnNpb24iOjF9.94XqLpsB43QQqsnh5ykt_jZuKXOjSbtwFgEUscatZzJdwIt0WBHY7oNpoodbZbk0eUDzTIoZyNoN59glXmlEAg
          - type: recall
            value: 0.910394265232975
            name: Recall
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTY3MDljNGM4ZjYxZjc1YmYyZTkwNjc4MTRmOTFjZjYyZDdlY2EyZTc4OWE0NWQ3ODIxY2NmODIzY2IxMWY5YiIsInZlcnNpb24iOjF9.BGacWdlFR1hw98mwV6P1UPbBInb4Z8XIpRkqqZdeQPpH9RBBdGoaiKuKx7FJKGDgMLEaqwleER4n6FSC7KaQDg
          - type: auc
            value: 0.9029062821260871
            name: AUC
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMDU0ZjdjZGNjNjAxZWM3NzNlYmM2NWFlZmYwZTY5ZDI2ZTY2ZTk0YTVhODc0NzcyMjNjOGFjOTY0YjYzMmU2ZCIsInZlcnNpb24iOjF9.jalnocWEmIaPkl1l-kHZm9I49WumqCay5T5C3_5RKhPZMCidPIRB14Y7a6klepf19-__EmP34QS3HxEl5iVMBA
          - type: f1
            value: 0.8927943760984183
            name: F1
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiN2I1MGVmODRlYTNjZTJmYWRiYTA5YzEyODkxYjQ2ZGNlMTliODAwMzMwNGEzMWQ2ZGRhYmYwZjVjMTgwNGU2NCIsInZlcnNpb24iOjF9.QgvEjsEulus1kvcBkHqV3RrcigOSNcfCbkKa6JWPCRxIyzbiFpNCvkFubSHbVPe0SX2h9vjgjmECv-SapMLKDg
          - type: loss
            value: 0.42868512868881226
            name: loss
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjIwMjNiYzI4NzgwZGI5MWU2NDgzYTQzNTYwNGUwMmZlNmViODhhYWIzZGE1ZWIxYzExMzRiOTU1YzFhNWQ0OSIsInZlcnNpb24iOjF9.NUgxlMh9Z0EyRqeKRr3BYYk9L02EdmJM-alLPPecPkML_ZdcbWHW-JOQN_vUTgYNda80dUBKRj_FmJ4kRF4yAQ

camembert-base-mrpc

This model is a fine-tuned version of camembert-base on the GLUE MRPC dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4286
  • Accuracy: 0.8505
  • F1: 0.8928
  • Combined Score: 0.8716

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: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5.0

Training results

Framework versions

  • Transformers 4.18.0
  • Pytorch 1.10.0+cu102
  • Datasets 2.1.0
  • Tokenizers 0.11.6