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adaptable-fly-271
ElMad/adaptable-fly-271
adaptable-fly-271 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
- c0b89875
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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. -->
adaptable-fly-271
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: 0.1619
- Hamming Loss: 0.0439
- Zero One Loss: 0.886
- Jaccard Score: 0.8648
- Hamming Loss Optimised: 0.0437
- Hamming Loss Threshold: 0.5933
- Zero One Loss Optimised: 0.839
- Zero One Loss Threshold: 0.1736
- Jaccard Score Optimised: 0.7401
- Jaccard Score Threshold: 0.1334
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: 5.379556445396376e-05
- 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: 4
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 | 0.1853 | 0.0497 | 1.0 | 1.0 | 0.0497 | 0.9000 | 1.0 | 0.9000 | 1.0 | 0.9000 |
| No log | 2.0 | 320 | 0.1830 | 0.0497 | 1.0 | 1.0 | 0.0497 | 0.9000 | 1.0 | 0.9000 | 1.0 | 0.9000 |
| No log | 3.0 | 480 | 0.1690 | 0.0442 | 0.8738 | 0.8604 | 0.0456 | 0.4236 | 0.8588 | 0.2889 | 0.8410 | 0.2889 |
| 0.2169 | 4.0 | 640 | 0.1621 | 0.0441 | 0.8712 | 0.8560 | 0.0438 | 0.5821 | 0.8225 | 0.1746 | 0.7466 | 0.1429 |
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