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languid-roo-319
ElMad/languid-roo-319
languid-roo-319 is a text classification model from ElMad. 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
- Nov 19, 2024
- Updated
- Nov 19, 2024
- SHA
- f8b71ed2
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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. -->
languid-roo-319
This model is a fine-tuned version of microsoft/deberta-v3-xsmall on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1579
- Hamming Loss: 0.0437
- Zero One Loss: 0.887
- Jaccard Score: 0.8658
- Hamming Loss Optimised: 0.0435
- Hamming Loss Threshold: 0.6974
- Zero One Loss Optimised: 0.8110
- Zero One Loss Threshold: 0.1443
- Jaccard Score Optimised: 0.7327
- Jaccard Score Threshold: 0.1460
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: 0.00011869753865906845
- train_batch_size: 20
- eval_batch_size: 20
- seed: 2024
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Hamming Loss | Zero One Loss | Jaccard Score | Hamming Loss Optimised | Hamming Loss Threshold | Zero One Loss Optimised | Zero One Loss Threshold | Jaccard Score Optimised | Jaccard Score Threshold |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 160 | 0.1851 | 0.0497 | 1.0 | 1.0 | 0.0497 | 0.9000 | 1.0 | 0.9000 | 1.0 | 0.9000 |
| No log | 2.0 | 320 | 0.1688 | 0.0450 | 0.8775 | 0.8635 | 0.0448 | 0.5185 | 0.8525 | 0.2167 | 0.8342 | 0.2167 |
| No log | 3.0 | 480 | 0.1576 | 0.0440 | 0.8725 | 0.8573 | 0.0438 | 0.5944 | 0.81 | 0.1466 | 0.7280 | 0.1262 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu118
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Nov 19, 2024
- Updated
- Nov 19, 2024