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yelp_review_rating_reberta_base
Shunian/yelp_review_rating_reberta_base
yelp_review_rating_reberta_base is a text classification model from Shunian. 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
- roberta
- Access
- Public
- Created
- Nov 8, 2022
- Updated
- Nov 13, 2022
- SHA
- 09f9cf45
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Datasets
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. -->
yelp_review_rating_reberta_base
This model was trained from scratch on the yelp_review_full dataset. It achieves the following results on the evaluation set:
- Loss: 0.8071
- Accuracy: 0.6709
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|---|---|---|---|---|
| 0.8355 | 1.0 | 40625 | 0.6449 | 0.8211 |
| 0.7709 | 2.0 | 81250 | 0.6615 | 0.7877 |
| 0.7141 | 3.0 | 121875 | 0.6712 | 0.7689 |
| 0.6511 | 4.0 | 162500 | 0.6724 | 0.7845 |
| 0.6229 | 5.0 | 203125 | 0.6719 | 0.8009 |
| 0.6036 | 6.0 | 243750 | 0.8071 | 0.6709 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.12.1+cu102
- Datasets 2.6.1
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Nov 8, 2022
- Updated
- Nov 13, 2022