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Phobert-v2-thesis
Nhown2002/Phobert-v2-thesis
Phobert-v2-thesis is a text classification model from Nhown2002. Use it when you need a label for a piece of text. It is set up for transformers.
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1.6 GB on disk
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.pt1.1 GB · 50%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Jun 20, 2024
- Updated
- Jun 21, 2024
- SHA
- a0d7fd00
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Base models
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 0.6724494099617004
f1_macro: 0.7569331733597563
f1_micro: 0.772892295280355
f1_weighted: 0.7744819967617077
precision_macro: 0.7857208805541623
precision_micro: 0.772892295280355
precision_weighted: 0.7858918730269342
recall_macro: 0.7453180945213479
recall_micro: 0.772892295280355
recall_weighted: 0.772892295280355
accuracy: 0.772892295280355
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Jun 20, 2024
- Updated
- Jun 21, 2024