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eren23/amazon_review_classification
amazon_review_classification is a text classification model from eren23. 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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From the Hugging Face model README
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 115 | 1.0703 | 0.6732 |
| No log | 2.0 | 230 | 1.2393 | 0.6341 |
| No log | 3.0 | 345 | 1.1084 | 0.6683 |
| No log | 4.0 | 460 | 1.1262 | 0.6829 |
| 0.3201 | 5.0 | 575 | 1.3179 | 0.6732 |
| 0.3201 | 6.0 | 690 | 1.3832 | 0.6585 |
| 0.3201 | 7.0 | 805 | 1.2997 | 0.6683 |
| 0.3201 | 8.0 | 920 | 1.3872 | 0.6634 |
| 0.0863 | 9.0 | 1035 | 1.3832 | 0.6634 |
| 0.0863 | 10.0 | 1150 | 1.3976 | 0.6732 |
from transformers import pipeline
classifier = pipeline("sentiment-analysis", model="eren23/amazon_review_classification")
classifier(text)