| | --- |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - glue |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: tiny-bert-sst2-distilled |
| | results: |
| | - task: |
| | name: Text Classification |
| | type: text-classification |
| | dataset: |
| | name: glue |
| | type: glue |
| | config: sst2 |
| | split: validation |
| | args: sst2 |
| | metrics: |
| | - name: Accuracy |
| | type: accuracy |
| | value: 0.819954128440367 |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # tiny-bert-sst2-distilled |
| |
|
| | This model was trained from scratch on the glue dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.6749 |
| | - Accuracy: 0.8200 |
| |
|
| | ## 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: 6e-05 |
| | - train_batch_size: 128 |
| | - eval_batch_size: 128 |
| | - seed: 33 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 7 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | 0.1125 | 1.0 | 3 | 0.6731 | 0.8177 | |
| | | 0.0984 | 2.0 | 6 | 0.6756 | 0.8188 | |
| | | 0.1273 | 3.0 | 9 | 0.6754 | 0.8177 | |
| | | 0.0758 | 4.0 | 12 | 0.6751 | 0.8188 | |
| | | 0.1188 | 5.0 | 15 | 0.6754 | 0.8188 | |
| | | 0.0936 | 6.0 | 18 | 0.6749 | 0.8200 | |
| | | 0.0781 | 7.0 | 21 | 0.6748 | 0.8200 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.35.2 |
| | - Pytorch 2.1.0+cu118 |
| | - Datasets 2.15.0 |
| | - Tokenizers 0.15.0 |
| |
|
