| | --- |
| | 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-mrpc |
| | results: |
| | - task: |
| | type: text-classification |
| | name: Text Classification |
| | dataset: |
| | name: GLUE MRPC |
| | type: glue |
| | args: mrpc |
| | metrics: |
| | - type: accuracy |
| | value: 0.8578431372549019 |
| | name: Accuracy |
| | - type: f1 |
| | value: 0.9023569023569024 |
| | name: F1 |
| | - task: |
| | type: natural-language-inference |
| | name: Natural Language Inference |
| | dataset: |
| | name: glue |
| | type: glue |
| | config: mrpc |
| | split: validation |
| | metrics: |
| | - type: accuracy |
| | value: 0.8578431372549019 |
| | name: Accuracy |
| | verified: true |
| | verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOWViZGIwMDMxMjA0ZTMwMWY3ZWU4YzA4ZjNjOWMyM2I0NGE2ZDZkMjg3MDdiZDUwYjEzNjMwYzZiODBhMzBiYyIsInZlcnNpb24iOjF9.8xsat2msiKS4S7KplRkr9xaLWCwMSbUNEXxZ3FgFXfIB6DhXWLoDdoc5X6GNux2ipDEdgHjqI8FMzAJURaD0DQ |
| | - type: precision |
| | value: 0.8507936507936508 |
| | name: Precision |
| | verified: true |
| | verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGE4ZTkyMzc1NTA4MjQxZGU4NjY5NmMyODI3ZWI0NGU4YWUzNmI3YzFhOTU0MDRkZWIzNzkxNTU0Y2ZhYTFmYiIsInZlcnNpb24iOjF9.f7odSB_ZEGkjTbewzM9SW7G5C324Hpuo6Z01uOr7OENrLPDC3z0OwgtoQmNj7pHVcU0fFp9FyRRiTowE6U4SAg |
| | - type: recall |
| | value: 0.9605734767025089 |
| | name: Recall |
| | verified: true |
| | verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOWVjYjhhNzJlYjdlMWI3Y2RmODkzZDQyYTBhMzdkY2NlNGE4OWM3YzY5MjBiZjMwNWY3ZmIwODk5ZDFkMjI4YSIsInZlcnNpb24iOjF9.yPZxpm9l7ctYxLEBuN0lOukQnT8ETLsBA4EzuqY5EJDuK6FZCqKeb1TKZ_qtthSQpI4n1366LzqSXeU8nZ3tBw |
| | - type: auc |
| | value: 0.8931260592926008 |
| | name: AUC |
| | verified: true |
| | verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjkwN2RmOTlmZDRlZTQ3ZTE1NjBjNTQxMDNkOTExMzQ5MjkyNjY1ZDFjZmQ4MDE0NmZlNDBhMjQzMTRhN2IxZCIsInZlcnNpb24iOjF9.e_gccDrQXc6s8fASle5wnZWc02ihuqBdicoDvehQO79nt-YHdm1oK11llTiUULReIOxTsOmFKCattvztyqOUCQ |
| | - type: f1 |
| | value: 0.9023569023569024 |
| | name: F1 |
| | verified: true |
| | verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNWNiOTUyMzEzMTRkNzBmOTdiMTNhOGQ0NzgyZjFiNjc2NmE1Y2FlOWM0NzdmNGM5ZGNmZTUyMzljZGRiZjNhOSIsInZlcnNpb24iOjF9.rxUf2PMqTz3N-tvfIo6L19RKTzmIjYRoxm1BEzrzNX1w-FATF69X2WZlqjAyB2xhMrSikvmsh7QryYmZn-P6AA |
| | - type: loss |
| | value: 0.5572634935379028 |
| | name: loss |
| | verified: true |
| | verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYWIyMzZmMGYwMjEyMGFmOGRjNGE3YjQ5MmU5NGZjYmJjZGFiNTA4Mzk0MTAxNDQyYTk5YzE2OTA5YjlmODgzMCIsInZlcnNpb24iOjF9.bgoIjSqw70DaRXJ9LL3_dP33C0WPAZq5uMlencN-wOpjNes2v0VcCW1felmd_0JRwSbWI7v1eP2YYPiQg-a0AQ |
| | --- |
| | |
| | <!-- 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-mrpc |
| |
|
| | This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the GLUE MRPC dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.5572 |
| | - Accuracy: 0.8578 |
| | - F1: 0.9024 |
| | - Combined Score: 0.8801 |
| |
|
| | ## 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: 5.0 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Combined Score | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:| |
| | | No log | 1.0 | 230 | 0.4111 | 0.8088 | 0.8704 | 0.8396 | |
| | | No log | 2.0 | 460 | 0.3762 | 0.8480 | 0.8942 | 0.8711 | |
| | | 0.4287 | 3.0 | 690 | 0.5572 | 0.8578 | 0.9024 | 0.8801 | |
| | | 0.4287 | 4.0 | 920 | 0.6087 | 0.8554 | 0.8977 | 0.8766 | |
| | | 0.1172 | 5.0 | 1150 | 0.6524 | 0.8456 | 0.8901 | 0.8678 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.20.0.dev0 |
| | - Pytorch 1.11.0+cu113 |
| | - Datasets 2.1.0 |
| | - Tokenizers 0.12.1 |
| | |
