This model was converted to OpenVINO from distilbert/distilbert-base-uncased-finetuned-sst-2-english using optimum-intel
via the export space.
First make sure you have optimum-intel installed:
pip install optimum-intel
To load your model you can do as follows:
from optimum.intel import OVModelForSequenceClassification
model_id = "echarlaix/distilbert-base-uncased-finetuned-sst-2-english-openvino"
model = OVModelForSequenceClassification.from_pretrained(model_id)
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Datasets used to train echarlaix/distilbert-base-uncased-finetuned-sst-2-english-openvino
Evaluation results
- Accuracy on gluevalidation set self-reported0.911
- Precision on gluevalidation set self-reported0.898
- Recall on gluevalidation set self-reported0.930
- AUC on gluevalidation set self-reported0.972
- F1 on gluevalidation set self-reported0.914
- loss on gluevalidation set self-reported0.390
- Accuracy on sst2self-reported0.989
- Precision Macro on sst2self-reported0.988