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Anxiety_continuous
ajrayman/Anxiety_continuous
Anxiety_continuous is a text classification model from ajrayman. 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
- deberta-v2
- Access
- Public
- Created
- Aug 2, 2024
- Updated
- Sep 8, 2026
- SHA
- dc525e96
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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. -->
Anxiety_continuous
This model is a fine-tuned version of microsoft/deberta-v3-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0640
- Rmse: 0.2530
- Mae: 0.1993
- Corr: 0.3833
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: 32
- eval_batch_size: 32
- seed: 1234
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rmse | Mae | Corr |
|---|---|---|---|---|---|---|
| No log | 1.0 | 235 | 0.0552 | 0.2350 | 0.1930 | 0.4134 |
| No log | 2.0 | 470 | 0.0568 | 0.2383 | 0.1904 | 0.4369 |
| 0.0742 | 3.0 | 705 | 0.0540 | 0.2324 | 0.1874 | 0.4231 |
| 0.0742 | 4.0 | 940 | 0.0629 | 0.2509 | 0.1978 | 0.4142 |
| 0.0404 | 5.0 | 1175 | 0.0640 | 0.2530 | 0.1993 | 0.3833 |
Framework versions
- Transformers 4.44.1
- Pytorch 1.11.0
- Datasets 2.12.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Aug 2, 2024
- Updated
- Sep 8, 2026