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WITHINAPPS_NDD-pagekit_test-content-CwAdj_EntireRepresentations
lgk03/WITHINAPPS_NDD-pagekit_test-content-CwAdj_EntireRepresentations
WITHINAPPS_NDD-pagekit_test-content-CwAdj_EntireRepresentations is a machine learning model from lgk03. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Aug 5, 2024
- Updated
- Aug 5, 2024
- SHA
- 757fe59b
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-pagekit_test-content-CwAdj_EntireRepresentations
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: 0.0281
- Accuracy: 0.9764
- F1: 0.9764
- Precision: 0.9764
- Recall: 0.9764
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: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 0.9836 | 30 | 0.2202 | 0.6732 | 0.6747 | 0.7020 | 0.6732 |
| No log | 2.0 | 61 | 0.1432 | 0.8207 | 0.8211 | 0.8611 | 0.8207 |
| No log | 2.9836 | 91 | 0.0790 | 0.9342 | 0.9346 | 0.9379 | 0.9342 |
| No log | 4.0 | 122 | 0.0481 | 0.9733 | 0.9733 | 0.9733 | 0.9733 |
| No log | 4.9836 | 152 | 0.0399 | 0.9743 | 0.9743 | 0.9743 | 0.9743 |
| No log | 6.0 | 183 | 0.0330 | 0.9758 | 0.9759 | 0.9759 | 0.9758 |
| No log | 6.9836 | 213 | 0.0312 | 0.9758 | 0.9759 | 0.9759 | 0.9758 |
| No log | 8.0 | 244 | 0.0288 | 0.9764 | 0.9764 | 0.9764 | 0.9764 |
| No log | 8.9836 | 274 | 0.0285 | 0.9764 | 0.9764 | 0.9764 | 0.9764 |
| No log | 9.8361 | 300 | 0.0281 | 0.9764 | 0.9764 | 0.9764 | 0.9764 |
Framework versions
- Transformers 4.43.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- distilbert
- License
- apache-2.0
- Created
- Aug 5, 2024
- Updated
- Aug 5, 2024