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yelp-review-sentiment-analysis-1
harmanpreet-kaur/yelp-review-sentiment-analysis-1
yelp-review-sentiment-analysis-1 is a text classification model from harmanpreet-kaur. 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
- bert
- Access
- Public
- Created
- Jul 6, 2024
- Updated
- Jul 6, 2024
- SHA
- a88d5ed9
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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. -->
yelp-review-sentiment-analysis-1
This model is a fine-tuned version of LiYuan/amazon-review-sentiment-analysis on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8763
- Accuracy: 0.6324
- F1: 0.6303
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: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.9292 | 1.0 | 625 | 0.8799 | 0.6132 | 0.6181 |
| 0.7542 | 2.0 | 1250 | 0.8763 | 0.6324 | 0.6303 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jul 6, 2024
- Updated
- Jul 6, 2024