| | --- |
| | language: |
| | - en |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - glue |
| | metrics: |
| | - accuracy |
| | - f1 |
| | base_model: bert-base-uncased |
| | model-index: |
| | - name: bert-base-uncased-qqp |
| | results: |
| | - task: |
| | type: text-classification |
| | name: Text Classification |
| | dataset: |
| | name: GLUE QQP |
| | type: glue |
| | args: qqp |
| | metrics: |
| | - type: accuracy |
| | value: 0.9099925797674994 |
| | name: Accuracy |
| | - type: f1 |
| | value: 0.8788252139455897 |
| | name: F1 |
| | - task: |
| | type: natural-language-inference |
| | name: Natural Language Inference |
| | dataset: |
| | name: glue |
| | type: glue |
| | config: qqp |
| | split: validation |
| | metrics: |
| | - type: accuracy |
| | value: 0.9099925797674994 |
| | name: Accuracy |
| | verified: true |
| | verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiY2RlZGIxNjAyYjRkMzg4N2FhMDEwYzk3NzNlNDEyNjc2ZTI4M2U4Mjk0ODU0NTk4NmNhNjUwZjAxNDBmNjdkMiIsInZlcnNpb24iOjF9.ftCigJiFH-iVFMBG5dSVIxdV4sgu3QVcQ0HGDjnxdI6nlWXRVAXEPkEFBeo2T-NfKNOV62HRYC7JgquMS00VDg |
| | - type: precision |
| | value: 0.8712531361415555 |
| | name: Precision |
| | verified: true |
| | verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMGM5MDdjZGY5YzE4OTg3YmJkYTgwYWMxOWY4NjhkNmE3N2YwMzc0OTc1ODQ0NjZhYjYzZDA3NTZkODczODMyYyIsInZlcnNpb24iOjF9.waQg4ueAVRbKStoFGrZrLBgWgsfmK-Ro-eHFYNLObmSbbi35hC46tjAGgNd1blHc6aNsLmpkfK-qtMCepPEEAQ |
| | - type: recall |
| | value: 0.8865300638226402 |
| | name: Recall |
| | verified: true |
| | verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzYyODkxZmU4ZDNjNmQ0ZGZiMTExZTA0Mjk2ZjZkMDRiNGFhOWFhNTBhNzNkMjE5YzE2MDRkN2I4YjVlMTYxZSIsInZlcnNpb24iOjF9.wXo-nBoBrXeunx-4yCbkNUfyqc8HhrJ0NeQA1d_cNBXlsNVeGEznVFduSu8aVwrrLqbRpDJWYshPEL9eAxQPAQ |
| | - type: auc |
| | value: 0.9690747048570257 |
| | name: AUC |
| | verified: true |
| | verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYmZjZTc3NmU3MTQ4OWVmMWMzNzIxYjU5YjRjOGIwMzQwNGIxZmJhODJjMDhkZjA1ZGJmYjAzNDM4ZGQxZmQxNiIsInZlcnNpb24iOjF9.KiQN8JfNNTB3lBV-58LoLhQnUZTixTzId_URIpCFENICV2ykYzwfR7WW9WrOc8dbRv79121xB46fjNLGHziBAQ |
| | - type: f1 |
| | value: 0.8788252139455897 |
| | name: F1 |
| | verified: true |
| | verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNmYyNjYxYmJmNjg3ODA1MjZmYWMxODllZGMzODI1NGFjNGU5ZTIxNGI3MWI4NWZiZDUwMDExMTE0ODEyODgyMSIsInZlcnNpb24iOjF9.a-gyRh1_YMEWnCTypkwp3w39iy5_1PmFntHszwtTISqDJtDKQsl3FYFJGzujSzllHrXl9ILFTcjLSkamvZSECw |
| | - type: loss |
| | value: 0.28284332156181335 |
| | name: loss |
| | verified: true |
| | verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzg5ZGJiM2E4MzI1MmZkNjAyOWFlYjU2OGI0NDJiNTI3YThiNzZkMDIwMTNhZDg1NzMwNjZmNTE5NDgzYTBiMSIsInZlcnNpb24iOjF9.CPKvNWzGTwAZf0PgU-rhQYS_sFnRmrBVor4fRzDuNQjz-QtjdCPxyfWpGVsuOzuAr_u71fdFS6tGyuVpasl1Bw |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # bert-base-uncased-qqp |
| |
|
| | This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the GLUE QQP dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.2829 |
| | - Accuracy: 0.9100 |
| | - F1: 0.8788 |
| | - Combined Score: 0.8944 |
| |
|
| | ## 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: 32 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 3.0 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Combined Score | |
| | |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:--------------:| |
| | | 0.2511 | 1.0 | 11371 | 0.2469 | 0.8969 | 0.8641 | 0.8805 | |
| | | 0.1763 | 2.0 | 22742 | 0.2379 | 0.9071 | 0.8769 | 0.8920 | |
| | | 0.1221 | 3.0 | 34113 | 0.2829 | 0.9100 | 0.8788 | 0.8944 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.20.0.dev0 |
| | - Pytorch 1.11.0+cu113 |
| | - Datasets 2.1.0 |
| | - Tokenizers 0.12.1 |
| |
|
