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distilbert-base-uncased-OMDENA-cllbck-augmentation
GhifSmile/distilbert-base-uncased-OMDENA-cllbck-augmentation
distilbert-base-uncased-OMDENA-cllbck-augmentation is a text classification model from GhifSmile. 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 19, 2023
- Updated
- Aug 19, 2023
- SHA
- 574dd2a9
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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-base-uncased-OMDENA-cllbck-augmentation
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: 0.0373
- Accuracy: 0.9909
- Precision: 0.9914
- Recall: 0.9909
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: 0.0002
- 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 | Accuracy | Precision | Recall |
|---|---|---|---|---|---|---|
| 0.3742 | 1.0 | 326 | 0.0618 | 0.9851 | 0.9860 | 0.9851 |
| 0.0442 | 2.0 | 652 | 0.0373 | 0.9909 | 0.9914 | 0.9909 |
| 0.0207 | 3.0 | 978 | 0.0384 | 0.9909 | 0.9911 | 0.9910 |
Framework versions
- Transformers 4.28.0
- 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 19, 2023
- Updated
- Aug 19, 2023