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sbert_yelp_imdb
Siki-77/sbert_yelp_imdb
sbert_yelp_imdb is a text classification model from Siki-77. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- mpnet
- Access
- Public
- Created
- Jul 19, 2024
- Updated
- Jul 19, 2024
- SHA
- 5e898ac2
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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. -->
sbert_yelp_imdb
This model is a fine-tuned version of Siki-77/sbert_yelp2class on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1311
- Accuracy: 0.9536
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.161 | 1.0 | 781 | 0.1311 | 0.9536 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- mpnet
- Created
- Jul 19, 2024
- Updated
- Jul 19, 2024