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juree_v1
domnasrabadi/juree_v1
juree_v1 is a text classification model from domnasrabadi. Use it when you need a label for a piece of text. It is set up for transformers.
Using combined dataset from multiple sources for safe vs unsafe text classification.
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184M
740 MB on disk
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.safetensors738 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- deberta-v2
- Access
- Public
- Created
- Jul 30, 2024
- Updated
- Jul 30, 2024
- SHA
- f1963fd7
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Model card
From the Hugging Face model README
Using combined dataset from multiple sources for safe vs unsafe text classification.
This is an initial experiment with results below:
{'test_loss': 0.0818108394742012,
'test_accuracy': 0.9797578509269769,
'test_f1': 0.9796642969399756,
'test_recall': 0.9901676829268292,
'test_precision': 0.9854357885155124,
'test_runtime': 75.8752,
'test_samples_per_second': 209.001,
'test_steps_per_second': 13.074}
142k samples for train, 15k for test.
metrics:
- accuracy
- recall
- precision
- f1 pipeline_tag: text-classification
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- Created
- Jul 30, 2024
- Updated
- Jul 30, 2024