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Distilbert-finetuned-w-teacher
Romain1311/Distilbert-finetuned-w-teacher
Distilbert-finetuned-w-teacher is a text classification model from Romain1311. 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
- Jul 10, 2024
- Updated
- Jul 10, 2024
- SHA
- 6c22d97d
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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-finetuned-w-teacher
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0372
- Accuracy: 0.9319
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: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 318 | 0.4101 | 0.67 |
| 0.6452 | 2.0 | 636 | 0.1427 | 0.8442 |
| 0.6452 | 3.0 | 954 | 0.0757 | 0.8965 |
| 0.1678 | 4.0 | 1272 | 0.0545 | 0.9129 |
| 0.0852 | 5.0 | 1590 | 0.0446 | 0.9242 |
| 0.0852 | 6.0 | 1908 | 0.0401 | 0.9274 |
| 0.0652 | 7.0 | 2226 | 0.0384 | 0.9313 |
| 0.0581 | 8.0 | 2544 | 0.0372 | 0.9319 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jul 10, 2024
- Updated
- Jul 10, 2024