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zero-shot_text_classification_fine_tuned
MaVier19/zero-shot_text_classification_fine_tuned
zero-shot_text_classification_fine_tuned is a text classification model from MaVier19. 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
- Jan 7, 2024
- Updated
- Jan 24, 2024
- SHA
- a80f45f1
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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. -->
zero-shot_text_classification_fine_tuned
This model is a fine-tuned version of MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6329
- Accuracy: 0.8235
- F1: 0.8241
- Log Loss: 0.6329
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: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Log Loss |
|---|---|---|---|---|---|---|
| No log | 1.0 | 375 | 1.1586 | 0.5505 | 0.5121 | 1.1586 |
| 1.4748 | 2.0 | 750 | 0.7917 | 0.7495 | 0.7506 | 0.7917 |
| 0.7813 | 3.0 | 1125 | 0.6692 | 0.798 | 0.7989 | 0.6692 |
| 0.5346 | 4.0 | 1500 | 0.6359 | 0.811 | 0.8105 | 0.6359 |
| 0.5346 | 5.0 | 1875 | 0.6329 | 0.8235 | 0.8241 | 0.6329 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Jan 7, 2024
- Updated
- Jan 24, 2024