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DIALOGUE_overfit_check_fold_4
SharonTudi/DIALOGUE_overfit_check_fold_4
DIALOGUE_overfit_check_fold_4 is a text classification model from SharonTudi. 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
- Jan 18, 2024
- Updated
- Jan 18, 2024
- SHA
- 528030c9
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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. -->
DIALOGUE_overfit_check_fold_4
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: 0.1481
- Precision: 0.9737
- Recall: 0.9773
- F1: 0.9742
- Accuracy: 0.9737
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: 0.00024
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.4533 | 0.77 | 30 | 0.5054 | 0.9059 | 0.8777 | 0.8782 | 0.8816 |
| 0.4715 | 1.54 | 60 | 0.3453 | 0.9618 | 0.9641 | 0.9619 | 0.9605 |
| 0.268 | 2.31 | 90 | 0.1294 | 0.9625 | 0.9659 | 0.9614 | 0.9605 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jan 18, 2024
- Updated
- Jan 18, 2024