| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - glue |
| | metrics: |
| | - matthews_correlation |
| | base_model: distilbert-base-uncased |
| | model-index: |
| | - name: distilbert-base-uncased-cola |
| | results: |
| | - task: |
| | type: text-classification |
| | name: Text Classification |
| | dataset: |
| | name: glue |
| | type: glue |
| | args: cola |
| | metrics: |
| | - type: matthews_correlation |
| | value: 0.5301312348234369 |
| | name: Matthews Correlation |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # distilbert-base-uncased-cola |
| |
|
| | This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the glue dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.2715 |
| | - Matthews Correlation: 0.5301 |
| |
|
| | ## 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: 16 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 10 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------------------:| |
| | | 0.5216 | 1.0 | 535 | 0.5124 | 0.4104 | |
| | | 0.3456 | 2.0 | 1070 | 0.5700 | 0.4692 | |
| | | 0.2362 | 3.0 | 1605 | 0.7277 | 0.4844 | |
| | | 0.1818 | 4.0 | 2140 | 0.7553 | 0.5007 | |
| | | 0.1509 | 5.0 | 2675 | 0.9406 | 0.4987 | |
| | | 0.1017 | 6.0 | 3210 | 0.9475 | 0.5387 | |
| | | 0.0854 | 7.0 | 3745 | 1.0933 | 0.5317 | |
| | | 0.051 | 8.0 | 4280 | 1.1719 | 0.5358 | |
| | | 0.0512 | 9.0 | 4815 | 1.2296 | 0.5321 | |
| | | 0.0308 | 10.0 | 5350 | 1.2715 | 0.5301 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.12.3 |
| | - Pytorch 1.10.0+cu102 |
| | - Datasets 1.15.1 |
| | - Tokenizers 0.10.3 |
| |
|
