Instructions to use anniew666/lora-roberta-large_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use anniew666/lora-roberta-large_6 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("roberta-large") model = PeftModel.from_pretrained(base_model, "anniew666/lora-roberta-large_6") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3375
Browse files- adapter_model.bin +1 -1
- cf.png +2 -2
- cf.txt +7 -7
- class_report.txt +9 -9
adapter_model.bin
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cf.png
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Git LFS Details
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Git LFS Details
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cf.txt
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4.508196721311475558e-02 2.254098360655737779e-02 7.827868852459016757e-01 2.868852459016393505e-02 5.122950819672131284e-02 4.508196721311475558e-02 2.459016393442622905e-02
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1.514663229133096992e-02 1.933612632935868565e-03 6.123106670963583860e-03 8.630357718337092754e-01 8.572349339349016883e-02 1.321301965839510179e-02 1.482436351917499132e-02
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class_report.txt
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precision recall f1-score support
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0anger 0.
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accuracy 0.71 10651
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macro avg 0.
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weighted avg 0.71 0.71 0.
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precision recall f1-score support
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0anger 0.64 0.61 0.62 1237
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1disgust 0.49 0.40 0.44 313
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2fear 0.67 0.78 0.72 488
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3joy 0.80 0.86 0.83 3103
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4neutral 0.67 0.69 0.68 2926
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5sadness 0.77 0.69 0.73 1661
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6surprise 0.58 0.51 0.54 923
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accuracy 0.71 10651
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macro avg 0.66 0.65 0.65 10651
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weighted avg 0.71 0.71 0.71 10651
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