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model-mental-health-classification
rexlotk/model-mental-health-classification
model-mental-health-classification is a text classification model from rexlotk. 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
- bert
- Access
- Public
- Created
- May 8, 2024
- Updated
- May 8, 2024
- SHA
- f71514af
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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. -->
model-mental-health-classification
This model is a fine-tuned version of google-bert/bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1549
- Accuracy: 0.5855
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.1217 | 1.0 | 1642 | 1.1627 | 0.5653 |
| 0.9457 | 2.0 | 3284 | 1.1549 | 0.5855 |
| 0.6765 | 3.0 | 4926 | 1.2525 | 0.5725 |
| 0.487 | 4.0 | 6568 | 1.4481 | 0.5718 |
| 0.3557 | 5.0 | 8210 | 1.5812 | 0.5639 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- May 8, 2024
- Updated
- May 8, 2024