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popular-snail-470
ElMad/popular-snail-470
popular-snail-470 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 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
- Nov 19, 2024
- Updated
- Nov 19, 2024
- SHA
- 8dd5fa9e
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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. -->
popular-snail-470
This model is a fine-tuned version of distilbert/distilbert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1428
- Hamming Loss: 0.0394
- Zero One Loss: 0.8140
- Jaccard Score: 0.7792
- Hamming Loss Optimised: 0.0378
- Hamming Loss Threshold: 0.2878
- Zero One Loss Optimised: 0.71
- Zero One Loss Threshold: 0.1741
- Jaccard Score Optimised: 0.6376
- Jaccard Score Threshold: 0.1616
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: 5.0943791435964314e-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: 2
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 | 0.1685 | 0.0438 | 0.8812 | 0.8679 | 0.0438 | 0.5944 | 0.8812 | 0.7111 | 0.8679 | 0.7111 |
| No log | 2.0 | 320 | 0.1422 | 0.0398 | 0.815 | 0.7804 | 0.0363 | 0.2166 | 0.6925 | 0.1817 | 0.621 | 0.1587 |
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
- distilbert
- License
- apache-2.0
- Created
- Nov 19, 2024
- Updated
- Nov 19, 2024