Instructions to use Vandita/TinyBERT-Linear with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vandita/TinyBERT-Linear with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Vandita/TinyBERT-Linear", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 853 Bytes
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"Best_Validation": {
"Accuracy": 0.9174608577263444,
"Precision": 0.8740157480314961,
"Recall": 0.9209606986899563,
"F1": 0.8968743355305124,
"MCC": 0.8289363201152266,
"ROC_AUC": 0.9789405426732296
},
"SarcOjiTest1": {
"Accuracy": 0.6088821250691754,
"Precision": 0.6436578171091445,
"Recall": 0.5740594580373586,
"F1": 0.6068696982339035,
"MCC": 0.22169400866840056,
"ROC_AUC": 0.6539045251479979
},
"SarcOjiTest2": {
"Accuracy": 0.6404272151898734,
"Precision": 0.37516869095816463,
"Recall": 0.6603325415676959,
"F1": 0.4784853700516351,
"MCC": 0.2565321672065399,
"ROC_AUC": 0.7187829228280039
},
"Hyperparameters": {
"Temperature": 3.0,
"Alpha": 0.6
}
} |