| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - glue |
| metrics: |
| - accuracy |
| model-index: |
| - name: autoevaluate-binary-classification |
| results: |
| - task: |
| type: text-classification |
| name: Text Classification |
| dataset: |
| name: glue |
| type: glue |
| args: sst2 |
| metrics: |
| - type: accuracy |
| value: 0.8967889908256881 |
| name: Accuracy |
| - task: |
| type: text-classification |
| name: Text Classification |
| dataset: |
| name: glue |
| type: glue |
| config: sst2 |
| split: validation |
| metrics: |
| - type: accuracy |
| value: 0.8967889908256881 |
| name: Accuracy |
| verified: true |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjQ3YmFiNmE0Y2FmNWUwZTQ2NDViMzEzMjk1ZWQyZTkyMDBmNzZkNzhmNWRmZDJiZjc0ZTEzODVhYTRlNmUxZSIsInZlcnNpb24iOjF9.qb-M6CZpsMnr7FGCaSL8vti0sh85bfzuwGqKM5nNW7fcbyi1SbIxDisDxVQ0SmZwl2Plif6lT3bBU9mer1NmCQ |
| - type: precision |
| value: 0.8898678414096917 |
| name: Precision |
| verified: true |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjE1MmVmODU2OTYwMTNlZjE5ZjlmY2Y5NTM3M2E4YjQ1MmE5Yjc1OTAwYjIwYWRjNGI5ZmZlZjI5NTYwZWJlYiIsInZlcnNpb24iOjF9.yf-1IHvGFLLBUPwWXCvlxblTTyeTU_KLqRLuCWDKO2coWWFKvGl_dYteujY1bUGqqzX2Ig6geTt0tVi5MuX9Aw |
| - type: recall |
| value: 0.9099099099099099 |
| name: Recall |
| verified: true |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTJlYTdlYWFkZDQzZjJjNjdhMDk1ZGYxYWUzNzczNGQ0MmRjMzdkNmQyYTI2YjA4N2RlNDEzN2Y4MDRmMWYwYyIsInZlcnNpb24iOjF9.Hw9PHkve1f8IiZTNAolCMmPpyyFiAOhZO7FhTxlQPGNJ3oUjzJi7S1wxVte0ZLOOXNa-jNfC-x6qOfHbJqbQDA |
| - type: auc |
| value: 0.9672186789593331 |
| name: AUC |
| verified: true |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjhiNjBjYzQzNTg2ZDI0MDU4YWIyYjhlYzNjYjg0ODdkNTE5ZmUxNzk0OWQ0ZTFiNDY2OWMxNjVjMzk5ZTg0ZCIsInZlcnNpb24iOjF9.t9A1giBHzuGtEYs4KexQNWuj4QoSQppx30xmB6Thqhs4tE8JpglMyGB2P8KDhCquA-3a2gK2LiVT90VaHUcwAw |
| - type: f1 |
| value: 0.8997772828507795 |
| name: F1 |
| verified: true |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODM4ZWZlNmNmODI5NmI1NmEzYTQ3MDI4ZDUxNjQxZTczY2VmMmY5ODg3OWM3ZjhlZTRlYmJkOTVlZmNkYWMyZiIsInZlcnNpb24iOjF9.P_w0jtDB66s20puJ_hvpad7JPGGgvDHHBhMxhfqmxGKU1oxba_OXgREKOxNzogsPsbXGlq7xtCPoSQSdR9VyCw |
| - type: loss |
| value: 0.30092036724090576 |
| name: loss |
| verified: true |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNWVhNDQ4ZDEwNzg3NGY0MjdiNmRiZGQ2ZDM5ZTI0MzNlZGZjMTNkY2I2OWIwYjk4MmIyZDk0YjgxYTZmMWE5NSIsInZlcnNpb24iOjF9.5y2feXY4wZUF1xfADCM5JQ4SOqduuUtD_p0BZzkrV7iKoJOvYDtaIpeKcGLHuX6Ikj_Kwx_nPVqBVwK6ALdEAg |
| - type: matthews_correlation |
| value: 0.793630584795814 |
| name: matthews_correlation |
| verified: true |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMWQxMzk2MzM2NmJiOWMwMGIwZDlkNTNiZmI0MWU1NjBjNTViZjk3YjQxYzU2NTUxMmFkNmM4NTYyOTJjZDQwZCIsInZlcnNpb24iOjF9.Vb_ZGOXUXO2pD0F1UuUczgDr2DusYAMpQF0cm8xpVtPhPIYGQba6AKiDJh12MoeNZIKVMUwi3cmYO1erGsbUAQ |
| --- |
| |
| <!-- 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. --> |
|
|
| # binary-classification |
|
|
| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the glue dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3009 |
| - Accuracy: 0.8968 |
|
|
| ## 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: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 1 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.175 | 1.0 | 4210 | 0.3009 | 0.8968 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.19.2 |
| - Pytorch 1.11.0+cu113 |
| - Datasets 2.2.2 |
| - Tokenizers 0.12.1 |
|
|
