| | --- |
| | license: mit |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - glue |
| | metrics: |
| | - accuracy |
| | - f1 |
| | model-index: |
| | - name: data2vec-text-base-finetuned-mrpc |
| | results: |
| | - task: |
| | name: Text Classification |
| | type: text-classification |
| | dataset: |
| | name: glue |
| | type: glue |
| | args: mrpc |
| | metrics: |
| | - name: Accuracy |
| | type: accuracy |
| | value: 0.8627450980392157 |
| | - name: F1 |
| | type: f1 |
| | value: 0.8992805755395683 |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # data2vec-text-base-finetuned-mrpc |
| |
|
| | This model is a fine-tuned version of [facebook/data2vec-text-base](https://huggingface.co/facebook/data2vec-text-base) on the glue dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.4087 |
| | - Accuracy: 0.8627 |
| | - F1: 0.8993 |
| |
|
| | ## 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: 9.486061628311107e-06 |
| | - train_batch_size: 4 |
| | - eval_batch_size: 16 |
| | - seed: 19 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 2 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
| | | 0.6197 | 1.0 | 917 | 0.4720 | 0.8039 | 0.8606 | |
| | | 0.4763 | 2.0 | 1834 | 0.4087 | 0.8627 | 0.8993 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.18.0 |
| | - Pytorch 1.11.0+cu113 |
| | - Datasets 2.1.0 |
| | - Tokenizers 0.12.1 |
| |
|
