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YelpFineTuneDistilBert
Faizyhugging/YelpFineTuneDistilBert
YelpFineTuneDistilBert is a text classification model from Faizyhugging. 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
- Oct 15, 2024
- Updated
- Oct 15, 2024
- SHA
- c8e385a2
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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. -->
YelpFineTuneDistilBert
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9126
- Accuracy: 0.626
- Precision: 0.6260
- Recall: 0.626
- F1: 0.6258
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: 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 | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 1.1535 | 1.0 | 625 | 0.9468 | 0.59 | 0.5829 | 0.59 | 0.5715 |
| 0.878 | 2.0 | 1250 | 0.8884 | 0.63 | 0.6370 | 0.63 | 0.6315 |
| 0.7291 | 3.0 | 1875 | 0.9126 | 0.626 | 0.6260 | 0.626 | 0.6258 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 15, 2024
- Updated
- Oct 15, 2024