| | --- |
| | license: mit |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - glue |
| | metrics: |
| | - spearmanr |
| | model-index: |
| | - name: data2vec-text-base-finetuned-stsb |
| | results: |
| | - task: |
| | name: Text Classification |
| | type: text-classification |
| | dataset: |
| | name: glue |
| | type: glue |
| | args: stsb |
| | metrics: |
| | - name: Spearmanr |
| | type: spearmanr |
| | value: 0.8716633516590501 |
| | --- |
| | |
| | <!-- 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-stsb |
| |
|
| | 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: 0.5530 |
| | - Pearson: 0.8732 |
| | - Spearmanr: 0.8717 |
| |
|
| | ## 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: 7.725353773731373e-05 |
| | - train_batch_size: 32 |
| | - eval_batch_size: 16 |
| | - seed: 5 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 5 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | |
| | |:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:| |
| | | No log | 1.0 | 180 | 1.0650 | 0.8102 | 0.8380 | |
| | | No log | 2.0 | 360 | 0.6211 | 0.8524 | 0.8497 | |
| | | 0.9312 | 3.0 | 540 | 0.5917 | 0.8640 | 0.8642 | |
| | | 0.9312 | 4.0 | 720 | 0.5672 | 0.8695 | 0.8686 | |
| | | 0.9312 | 5.0 | 900 | 0.5530 | 0.8732 | 0.8717 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.18.0 |
| | - Pytorch 1.11.0+cu113 |
| | - Datasets 2.1.0 |
| | - Tokenizers 0.12.1 |
| |
|
