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WITHINAPPS_NDD-addressbook_test-content_tags-CWAdj
lgk03/WITHINAPPS_NDD-addressbook_test-content_tags-CWAdj
WITHINAPPS_NDD-addressbook_test-content_tags-CWAdj is a text classification model from lgk03. 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
- Aug 27, 2024
- Updated
- Aug 27, 2024
- SHA
- 17e1bd51
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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. -->
WITHINAPPS_NDD-addressbook_test-content_tags-CWAdj
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0751
- Accuracy: 0.9495
- F1: 0.9507
- Precision: 0.9572
- Recall: 0.9495
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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 | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 0.9953 | 53 | 0.0789 | 0.9501 | 0.9512 | 0.9574 | 0.9501 |
| No log | 1.9906 | 106 | 0.0774 | 0.9483 | 0.9496 | 0.9564 | 0.9483 |
| No log | 2.9859 | 159 | 0.0764 | 0.9483 | 0.9496 | 0.9564 | 0.9483 |
| No log | 4.0 | 213 | 0.0752 | 0.9495 | 0.9507 | 0.9572 | 0.9495 |
| No log | 4.9765 | 265 | 0.0751 | 0.9495 | 0.9507 | 0.9572 | 0.9495 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Aug 27, 2024
- Updated
- Aug 27, 2024