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--- |
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language: |
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- en |
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license: mit |
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tags: |
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- generated_from_trainer |
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datasets: |
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- glue |
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metrics: |
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- matthews_correlation |
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base_model: roberta-base |
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model-index: |
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- name: roberta-base-cola |
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results: |
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- task: |
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type: text-classification |
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name: Text Classification |
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dataset: |
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name: GLUE COLA |
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type: glue |
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args: cola |
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metrics: |
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- type: matthews_correlation |
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value: 0.6232164195970928 |
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name: Matthews Correlation |
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- task: |
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type: text-classification |
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name: Text Classification |
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dataset: |
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name: glue |
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type: glue |
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config: cola |
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split: validation |
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metrics: |
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- type: accuracy |
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value: 0.8456375838926175 |
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name: Accuracy |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjhmNDQzMzM3ODExYjUzZDA0YjgxNGQxZTE5MGIwOGYzZDIxYjBmMzM3NWJhNTVjMTliYWM1MTNlZTQ3NDk0YyIsInZlcnNpb24iOjF9.pHFErdo8KYG7VgRCfmQnDo3ytNYuSlfBUujEGHD0_wIsHVsNffRPsdinIf-1BU3GzSnyoO3sXf_0M0h-Y3LVCg |
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- type: precision |
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value: 0.843528494100156 |
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name: Precision Macro |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzk3ZGViNTlhZmJkYTk3YTE5YjZiYjQ3NGMwM2QxNjA4ZTY4NjE0YzlmZDA4MjhhYmViY2U2MzI2NWZlNDUyZSIsInZlcnNpb24iOjF9.JREOHBP9mBJRjgF_Y_KpHQOcHcCoAzW3kUENn1pB5NLQHcFufn6vVastV06867fhIj5PGC8ZAfJYSvj-8oi3Ag |
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- type: precision |
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value: 0.8456375838926175 |
|
name: Precision Micro |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGI4OTM5ZGRhYWI3MThlNTI1ZjlmYjliNDMxZDgyMGE2M2JlYzIxMzBmNmJjMjc4NGEwMGUyN2ExOGZjOGM3ZCIsInZlcnNpb24iOjF9.g3QKEc6pwxppQtwTVFspksNrFaFJvodaYGiOWDzfeYCL-33aEJiQN6zWq7_f1aDzExnKYmaY3TCAvDyfClrcCw |
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- type: precision |
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value: 0.8450074516171895 |
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name: Precision Weighted |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjJkZTFhM2NlMWQ2N2U1ZDAwNWRhODc4NGU4NmIxYWJjNmI3MjJjMGY2MmVhZDMwOTY1N2EwZjJiMzAyNWNkNiIsInZlcnNpb24iOjF9.ThxBlZmBvglRrH_-9Lq4jmix1Q0RlFG9nf1zrw4wfuoOwByhCALYdBLE2q4QNTnS06umezgx1RBSt9cggMx-BQ |
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- type: recall |
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value: 0.7826539226919134 |
|
name: Recall Macro |
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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 |
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- 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 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# roberta-base-cola |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the GLUE COLA dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0571 |
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- Matthews Correlation: 0.6232 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.06 |
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- num_epochs: 10.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation | |
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|:-------------:|:-----:|:----:|:---------------:|:--------------------:| |
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| 0.5497 | 1.0 | 535 | 0.5504 | 0.4613 | |
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| 0.3786 | 2.0 | 1070 | 0.4850 | 0.5470 | |
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| 0.2733 | 3.0 | 1605 | 0.5036 | 0.5792 | |
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| 0.2204 | 4.0 | 2140 | 0.5532 | 0.6139 | |
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| 0.164 | 5.0 | 2675 | 0.9516 | 0.5934 | |
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| 0.1351 | 6.0 | 3210 | 0.9051 | 0.5754 | |
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| 0.1065 | 7.0 | 3745 | 0.9006 | 0.6161 | |
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| 0.0874 | 8.0 | 4280 | 0.9457 | 0.6157 | |
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| 0.0579 | 9.0 | 4815 | 1.0372 | 0.6007 | |
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| 0.0451 | 10.0 | 5350 | 1.0571 | 0.6232 | |
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### Framework versions |
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- Transformers 4.20.0.dev0 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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