| | --- |
| | 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.eyJoYXNoIjoiM2YyZGU5NjQzNGE2ZDAyNzMzMTE5OTA1ZGI3MGZlYTEyOWZkZGMyMzFmOWY2OGMzZDJkNzIwMzViYWFkMGJmNyIsInZlcnNpb24iOjF9.wnq3Nmc_iieKBGDD6Yz4crhORG7Rb5go0DgbUotEQv633amBJkjgAIQL3BvcNQWeMKxsQPomGBxYyhGbxdqxCQ |
| | - type: precision |
| | value: 0.8898678414096917 |
| | name: Precision |
| | verified: true |
| | verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMDJlMDA3Mjk3OGY2ZTM1NWRlZGZhMDk5MWY3MDIyOWU5ZjFlY2U0NTBiOTg3YzQzYjljN2Y2MzhkMTI0MWM4YSIsInZlcnNpb24iOjF9.CTkQlCYw7Gd_SXTf8SsUrkjmPbCoA-JzkawIWqLM3o3527KjW6aeD-ZXI5SlfJC-yMFmZXI7b9HbKkICTaSxDQ |
| | - type: recall |
| | value: 0.9099099099099099 |
| | name: Recall |
| | verified: true |
| | verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTMwOTA5ZWZmNDRhOGFmN2ZmY2M5Njg0ZjUzOWYyZTUyZmNjMTkxMGYxZWQ5YmMxNTg0M2RmOGQ4ZTY4MzJlMiIsInZlcnNpb24iOjF9.bIt71RznYodCLorax-sun6kJkYrp9untPiG4aTKfw_OWXJQmW8tOOkx5a2l230kR0zi64bUnFYdx2jczOxExCQ |
| | - type: auc |
| | value: 0.9672186789593331 |
| | name: AUC |
| | verified: true |
| | verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDllMjM5YWNjMTljNzg0OWRlZGM3YjZlMmRmODg3NDM4MjFjZjllMDE4MzIyYjE0ZTk1MDgyMWVhMGNlODgxZiIsInZlcnNpb24iOjF9.FTqqzim42RGWAy-RgiQ3mGc7DbRGcThJ4TiByh6AjxFsJHUgX2SWqV1LTSTN6WmkYitdiErM28aEhhDhLnD0Bw |
| | - type: f1 |
| | value: 0.8997772828507795 |
| | name: F1 |
| | verified: true |
| | verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODY3MDc4ODZmODBmMTMyODUzOGQzODg0MjdlNWEyM2ZhNjJjNGY2MWE1Y2IyNDY0ZmI2YjdhNGIxYzJhOWRhNCIsInZlcnNpb24iOjF9.rnPDttnVCjPQsNaD8WQCtyi-AveeLm0M5Xz8gQftq_XOMydPOJuR9h0I-5o-RXfQzGnHFoqzJspqtgJWi2dADA |
| | - type: loss |
| | value: 0.30092036724090576 |
| | name: loss |
| | verified: true |
| | verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjg5ZjU4ZDdlNjc3NzYxNDk5NTYwYjlhZWY4ZjkwMDcwYjliMGI4MmM1MWVlZmJlMWRlZjUxNjA5NTczMTA3NyIsInZlcnNpb24iOjF9.Ayx_RZ_j3iSWm2Lz8YwsKxA4n4BEdwqNqjQGzeKlHOuwDn9tSHgsFiEW4i7EgroNGZWsMqJjrucu1g8s1VU7Cw |
| | - type: matthews_correlation |
| | value: 0.793630584795814 |
| | name: matthews_correlation |
| | verified: true |
| | verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMDNhMDc2YjBkNjk5MDY5MDU0NGExMWE0ZDlkZWYxZTczZDY4ZmVlOGE3ZmU0OWNhNmFlYzM3NjQxMWI5MjdhYyIsInZlcnNpb24iOjF9.hoed2rRtuZzXGz7LUGnrqOUL4wm-s_kO-_T3PTCpM5-A4ZtdZzixUl-WCeQRpzOw9wpKOuuD0K06U73lALQyAg |
| | --- |
| | |
| | <!-- 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 |
| |
|
