Hugging Face's logo

JeremiahZ
/
roberta-base-cola

Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
English
roberta
generated_from_trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
4
roberta-base-cola / README.md
JeremiahZ's picture
JeremiahZ
Librarian Bot: Add base_model information to model (#4)
5791148
preview code
|
raw history blame contribute delete
No virus
6.48 kB
metadata
language:
  - en
license: mit
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - matthews_correlation
base_model: roberta-base
model-index:
  - name: roberta-base-cola
    results:
      - task:
          type: text-classification
          name: Text Classification
        dataset:
          name: GLUE COLA
          type: glue
          args: cola
        metrics:
          - type: matthews_correlation
            value: 0.6232164195970928
            name: Matthews Correlation
      - task:
          type: text-classification
          name: Text Classification
        dataset:
          name: glue
          type: glue
          config: cola
          split: validation
        metrics:
          - type: accuracy
            value: 0.8456375838926175
            name: Accuracy
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjhmNDQzMzM3ODExYjUzZDA0YjgxNGQxZTE5MGIwOGYzZDIxYjBmMzM3NWJhNTVjMTliYWM1MTNlZTQ3NDk0YyIsInZlcnNpb24iOjF9.pHFErdo8KYG7VgRCfmQnDo3ytNYuSlfBUujEGHD0_wIsHVsNffRPsdinIf-1BU3GzSnyoO3sXf_0M0h-Y3LVCg
          - type: precision
            value: 0.843528494100156
            name: Precision Macro
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzk3ZGViNTlhZmJkYTk3YTE5YjZiYjQ3NGMwM2QxNjA4ZTY4NjE0YzlmZDA4MjhhYmViY2U2MzI2NWZlNDUyZSIsInZlcnNpb24iOjF9.JREOHBP9mBJRjgF_Y_KpHQOcHcCoAzW3kUENn1pB5NLQHcFufn6vVastV06867fhIj5PGC8ZAfJYSvj-8oi3Ag
          - type: precision
            value: 0.8456375838926175
            name: Precision Micro
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGI4OTM5ZGRhYWI3MThlNTI1ZjlmYjliNDMxZDgyMGE2M2JlYzIxMzBmNmJjMjc4NGEwMGUyN2ExOGZjOGM3ZCIsInZlcnNpb24iOjF9.g3QKEc6pwxppQtwTVFspksNrFaFJvodaYGiOWDzfeYCL-33aEJiQN6zWq7_f1aDzExnKYmaY3TCAvDyfClrcCw
          - type: precision
            value: 0.8450074516171895
            name: Precision Weighted
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjJkZTFhM2NlMWQ2N2U1ZDAwNWRhODc4NGU4NmIxYWJjNmI3MjJjMGY2MmVhZDMwOTY1N2EwZjJiMzAyNWNkNiIsInZlcnNpb24iOjF9.ThxBlZmBvglRrH_-9Lq4jmix1Q0RlFG9nf1zrw4wfuoOwByhCALYdBLE2q4QNTnS06umezgx1RBSt9cggMx-BQ
          - type: recall
            value: 0.7826539226919134
            name: Recall Macro
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTcxZDVmYmQ4NGNkMWZlY2RhZTM0ODA3NGI0ODJjZmYzNjFjZDJiZDgyMGE1ZGIzNjZlY2MyMGJjZDdkNzI2YyIsInZlcnNpb24iOjF9.9hMSyd6qi3H2v_FVCf3W1_hlSYW-uYrZlEhPxifBPhSWqPPxohTRte2UcmWApXGrkRBKI09Nt0wN6aJqLir5AA
          - type: recall
            value: 0.8456375838926175
            name: Recall Micro
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzhkNjA4Y2EzMjcyZGYyMmZhMTU2OTY3MTA3MTIxYTFmMzcxYjBmMzY0NDcxMGRiZDRkODdjNjMwMmY0YjUwNCIsInZlcnNpb24iOjF9.gw2I2qqsukk1tdUwER84wTDKy3ZgVAAo9pIIdp4SFgqb1cY9tpkcme5tfA5TGmWEQEKo_5Aot_IkH0XmNOvoDQ
          - type: recall
            value: 0.8456375838926175
            name: Recall Weighted
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMTk1NDMzOTQ0YjM2OWRkOTBmODEzMTIwMzVkMGMzNTM5MjkwMTVmNmI4YzVlMjkxNjU4MDQxYjY3MTYzNTZmYyIsInZlcnNpb24iOjF9.TH7SQ9c9A-MXRoprivGg3aHNeJ1e57S-n61-M4RU_DgoyoJPFQ4cQo4icQHnWt29WiY2TvSpqgFlNx8HNZUXDg
          - type: f1
            value: 0.8032750971481726
            name: F1 Macro
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjNiYWY5ZjMzMmEzN2M3MTE4YzMyYjE5Njc4ZTVjMjNjNWIwNTBkOGJmYzFkOGFhMTNkMmE3OTg2YjQ3YmZjNSIsInZlcnNpb24iOjF9.SOmEVhWy3JpdO0ZWbgL-FhdxbuCAZmRj44psK3ipMccssHU1ePKAFdrpArOMLomMfU7qLdYz0BhGusmA3JixBA
          - type: f1
            value: 0.8456375838926175
            name: F1 Micro
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjQ1MDVlNTczNWFjYzY3OWNkNTI5MmM2MGQ0NzBlMGNkOWRjZTY5YThkMmM3MjNlYjBmZTQ0YmQ1NjBlMTUyNiIsInZlcnNpb24iOjF9.oR6TJsIb5g44RhaWwq3ShS5jeK--o9Gn38dW7hccdsH03X2hj3OsE6tSjW5fftSFoeKqtK_wMojm_CWM-ZoCBg
          - type: f1
            value: 0.838197890972622
            name: F1 Weighted
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOGNjYjZkZjQyNDJiYWI5NzE2NDk3NzEyMTdmY2VjMjM3NTgxZmJkNzQ4NDIyZjliMzVjMDJjNmIzMWJhMmRkZCIsInZlcnNpb24iOjF9.COJKE4ndKtnNseK4yIxpqeQqQmQ9N6ijv9F6GLkN1cX2r-t4GjD9OHwNd8akl2bB09eU4u97NcZNEb7HlpfdBg
          - type: loss
            value: 1.0575031042099
            name: loss
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjY4MTc2NjE4NzI0ZDUxOWUzZDFlZTgwNTA1NGY3ZDAzNjk2NWE5NmMzNGI1MTgyYWY0NDFhMDMxZmYxMDcyYiIsInZlcnNpb24iOjF9.UhKXZf7oLduFBfUJrOGTYdd_4gLoeRl9bSGmELkdxvZyJSG6sEkafgz2CoUW4huuEnMeY10ev-U5NOYNUBpuDQ

roberta-base-cola

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

  • Loss: 1.0571
  • Matthews Correlation: 0.6232

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
  • lr_scheduler_warmup_ratio: 0.06
  • num_epochs: 10.0

Training results

Training Loss Epoch Step Validation Loss Matthews Correlation
0.5497 1.0 535 0.5504 0.4613
0.3786 2.0 1070 0.4850 0.5470
0.2733 3.0 1605 0.5036 0.5792
0.2204 4.0 2140 0.5532 0.6139
0.164 5.0 2675 0.9516 0.5934
0.1351 6.0 3210 0.9051 0.5754
0.1065 7.0 3745 0.9006 0.6161
0.0874 8.0 4280 0.9457 0.6157
0.0579 9.0 4815 1.0372 0.6007
0.0451 10.0 5350 1.0571 0.6232

Framework versions

  • Transformers 4.20.0.dev0
  • Pytorch 1.11.0+cu113
  • Datasets 2.1.0
  • Tokenizers 0.12.1