| --- |
| language: |
| - en |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - glue |
| metrics: |
| - accuracy |
| - f1 |
| model-index: |
| - name: bert_finetuning_test |
| results: |
| - task: |
| name: Text Classification |
| type: text-classification |
| dataset: |
| name: GLUE MRPC |
| type: glue |
| args: mrpc |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.8284313725490197 |
| - name: F1 |
| type: f1 |
| value: 0.8817567567567567 |
| --- |
| |
| <!-- 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_finetuning_test |
|
|
| 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: 0.4023 |
| - Accuracy: 0.8284 |
| - F1: 0.8818 |
| - Combined Score: 0.8551 |
|
|
| ## 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: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 1.0 |
|
|
| ### Training results |
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| ### Framework versions |
|
|
| - Transformers 4.16.0.dev0 |
| - Pytorch 1.10.1+cu102 |
| - Datasets 1.17.0 |
| - Tokenizers 0.11.0 |
|
|
