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distilBERT_mergeddata_with_preprocessing_grid_search
LovenOO/distilBERT_mergeddata_with_preprocessing_grid_search
distilBERT_mergeddata_with_preprocessing_grid_search is a text classification model from LovenOO. 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 14, 2023
- Updated
- Aug 14, 2023
- SHA
- b0909593
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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. -->
distilBERT_mergeddata_with_preprocessing_grid_search
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: 0.1742
- Precision: 0.9650
- Recall: 0.9650
- F1: 0.9648
- Accuracy: 0.965
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
- 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 | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 225 | 0.2068 | 0.9550 | 0.9536 | 0.9537 | 0.9544 |
| No log | 2.0 | 450 | 0.1497 | 0.9583 | 0.9585 | 0.9582 | 0.9583 |
| 0.445 | 3.0 | 675 | 0.1408 | 0.9628 | 0.9631 | 0.9627 | 0.9628 |
| 0.445 | 4.0 | 900 | 0.1484 | 0.9630 | 0.9630 | 0.9626 | 0.9628 |
| 0.0585 | 5.0 | 1125 | 0.1487 | 0.9675 | 0.9680 | 0.9676 | 0.9678 |
| 0.0585 | 6.0 | 1350 | 0.1538 | 0.9665 | 0.9670 | 0.9665 | 0.9667 |
| 0.0242 | 7.0 | 1575 | 0.1666 | 0.9644 | 0.9645 | 0.9642 | 0.9644 |
| 0.0242 | 8.0 | 1800 | 0.1709 | 0.9672 | 0.9673 | 0.9671 | 0.9672 |
| 0.0111 | 9.0 | 2025 | 0.1707 | 0.9670 | 0.9672 | 0.9670 | 0.9672 |
| 0.0111 | 10.0 | 2250 | 0.1742 | 0.9650 | 0.9650 | 0.9648 | 0.965 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Aug 14, 2023
- Updated
- Aug 14, 2023