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dignity-classifier
edmundmills/dignity-classifier
dignity-classifier is a text classification model from edmundmills. 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
- Jun 7, 2023
- Updated
- Jun 8, 2023
- SHA
- ae0bf9d9
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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. -->
dignity-classifier
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: 0.5157
- Accuracy: 0.8678
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7722 | 1.0 | 98 | 0.7799 | 0.6897 |
| 0.4301 | 2.0 | 196 | 0.4704 | 0.8477 |
| 0.2445 | 3.0 | 294 | 0.5107 | 0.8305 |
| 0.1626 | 4.0 | 392 | 0.5553 | 0.8477 |
| 0.0653 | 5.0 | 490 | 0.5157 | 0.8678 |
Framework versions
- Transformers 4.29.2
- Pytorch 1.13.1
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Jun 7, 2023
- Updated
- Jun 8, 2023