| --- |
| license: apache-2.0 |
| tags: |
| - text-classification |
| - depression |
| - reddit |
| - generated_from_trainer |
| datasets: |
| - depression-reddit-cleaned |
| metrics: |
| - accuracy |
| widget: |
| - text: ["i just found out my boyfriend is depressed i really want to be there for him but i feel like i ve only been saying the wrong thing how can i be there for him help him and see him get better i m worried it will continue to the point it will consume him i can already see his personality changing and i m scared for the future what thing can i say or do to comfort or help"] |
| example_title: depression |
| - text: ["i m getting more and more people asking where they can buy the ambients album simple answer is quot not yet quot it ll be on itunes eventually"] |
| example_title: not_depression |
| model-index: |
| - name: depression-reddit-distilroberta-base |
| results: |
| - task: |
| name: Text Classification |
| type: text-classification |
| dataset: |
| name: mrjunos/depression-reddit-cleaned |
| type: depression-reddit-cleaned |
| config: default |
| split: train |
| args: default |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.982546864899806 |
| --- |
| |
| <!-- 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. --> |
|
|
| # depression-reddit-distilroberta-base |
|
|
| This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the mrjunos/depression-reddit-cleaned dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0980 |
| - Accuracy: 0.9825 |
|
|
| ## 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: 5e-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: 3 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.1792 | 0.65 | 500 | 0.1206 | 0.9709 | |
| | 0.1074 | 1.29 | 1000 | 0.1155 | 0.9716 | |
| | 0.0649 | 1.94 | 1500 | 0.0980 | 0.9825 | |
| | 0.0243 | 2.59 | 2000 | 0.1287 | 0.9787 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.28.0 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.13.0 |
| - Tokenizers 0.13.3 |
|
|
