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magnificent-pug-172
ElMad/magnificent-pug-172
magnificent-pug-172 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
- roberta
- Access
- Public
- Created
- Dec 10, 2024
- Updated
- Dec 10, 2024
- SHA
- 96a4d0be
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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. -->
magnificent-pug-172
This model is a fine-tuned version of FacebookAI/roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1931
- Hamming Loss: 0.06
- Zero One Loss: 0.5075
- Jaccard Score: 0.4682
- Hamming Loss Optimised: 0.06
- Hamming Loss Threshold: 0.4620
- Zero One Loss Optimised: 0.4425
- Zero One Loss Threshold: 0.3334
- Jaccard Score Optimised: 0.3457
- Jaccard Score Threshold: 0.2679
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: 3.589417508880753e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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 | 100 | 0.2264 | 0.0712 | 0.6113 | 0.5890 | 0.0691 | 0.3167 | 0.4862 | 0.2653 | 0.4208 | 0.2524 |
| No log | 2.0 | 200 | 0.1931 | 0.06 | 0.5075 | 0.4682 | 0.06 | 0.4620 | 0.4425 | 0.3334 | 0.3457 | 0.2679 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Dec 10, 2024
- Updated
- Dec 10, 2024