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roberta-base-detect-depression
hoanghoavienvo/roberta-base-detect-depression
roberta-base-detect-depression is a text classification model from hoanghoavienvo. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Jul 2, 2023
- Updated
- Jul 2, 2023
- SHA
- e8eff721
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Model card
From the Hugging Face model README
<!-- 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. -->
roberta-base-detect-depression
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1225
- Accuracy: 0.675
- F1: 0.7486
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 376 | 0.5270 | 0.759 | 0.8280 |
| 0.6082 | 2.0 | 752 | 0.5791 | 0.698 | 0.7618 |
| 0.5139 | 3.0 | 1128 | 0.6764 | 0.692 | 0.7852 |
| 0.3598 | 4.0 | 1504 | 0.7543 | 0.707 | 0.7755 |
| 0.3598 | 5.0 | 1880 | 1.1225 | 0.675 | 0.7486 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Jul 2, 2023
- Updated
- Jul 2, 2023