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distilbert-base-uncased-finetuned-depression
welsachy/distilbert-base-uncased-finetuned-depression
distilbert-base-uncased-finetuned-depression is a text classification model from welsachy. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Jun 5, 2024
- Updated
- Jun 22, 2024
- SHA
- 7bf2a69f
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Base models
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. -->
distilbert-base-uncased-finetuned-depression
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6721
- Precision: 0.9018
- Recall: 0.8881
- F1: 0.8946
- Accuracy: 0.9168
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: 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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 469 | 0.3914 | 0.9136 | 0.7542 | 0.8087 | 0.8678 |
| 0.5449 | 2.0 | 938 | 0.3944 | 0.8652 | 0.8677 | 0.8644 | 0.8977 |
| 0.2679 | 3.0 | 1407 | 0.4355 | 0.8717 | 0.8713 | 0.8703 | 0.9009 |
| 0.1516 | 4.0 | 1876 | 0.4509 | 0.8757 | 0.8809 | 0.8779 | 0.9083 |
| 0.0989 | 5.0 | 2345 | 0.4762 | 0.8861 | 0.8846 | 0.8854 | 0.9094 |
| 0.0666 | 6.0 | 2814 | 0.4829 | 0.8878 | 0.8890 | 0.8883 | 0.9126 |
| 0.0563 | 7.0 | 3283 | 0.5768 | 0.8918 | 0.8866 | 0.8885 | 0.9115 |
| 0.0349 | 8.0 | 3752 | 0.6874 | 0.8898 | 0.8644 | 0.8758 | 0.8987 |
| 0.0444 | 9.0 | 4221 | 0.6256 | 0.8804 | 0.8822 | 0.8790 | 0.9019 |
| 0.0301 | 10.0 | 4690 | 0.6354 | 0.8897 | 0.8750 | 0.8814 | 0.9030 |
| 0.0318 | 11.0 | 5159 | 0.7172 | 0.8894 | 0.8682 | 0.8770 | 0.9009 |
| 0.0222 | 12.0 | 5628 | 0.6906 | 0.9001 | 0.8700 | 0.8834 | 0.9019 |
| 0.0243 | 13.0 | 6097 | 0.7263 | 0.8898 | 0.8732 | 0.8800 | 0.9019 |
| 0.0172 | 14.0 | 6566 | 0.6936 | 0.8945 | 0.8766 | 0.8846 | 0.9072 |
| 0.0204 | 15.0 | 7035 | 0.7428 | 0.9081 | 0.8730 | 0.8889 | 0.9051 |
| 0.0162 | 16.0 | 7504 | 0.7202 | 0.8966 | 0.8748 | 0.8846 | 0.9062 |
| 0.0162 | 17.0 | 7973 | 0.6721 | 0.9018 | 0.8881 | 0.8946 | 0.9168 |
| 0.0172 | 18.0 | 8442 | 0.7664 | 0.9037 | 0.8706 | 0.8854 | 0.9030 |
| 0.0156 | 19.0 | 8911 | 0.7166 | 0.8985 | 0.8784 | 0.8876 | 0.9094 |
| 0.0158 | 20.0 | 9380 | 0.7327 | 0.8966 | 0.8748 | 0.8846 | 0.9062 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jun 5, 2024
- Updated
- Jun 22, 2024