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isal-amir/
distilbert-base-uncased-lora-text-classification

Name: distilbert-base-uncased-lora-text-classification
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distilbert-base-uncased-lora-text-classification

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4805	1.0	500	0.2170	{'accuracy': 0.921}
0.3815	2.0	1000	0.1949	{'accuracy': 0.948}
0.2958	3.0	1500	0.1315	{'accuracy': 0.965}
0.2432	4.0	2000	0.0774	{'accuracy': 0.981}
0.1623	5.0	2500	0.0234	{'accuracy': 0.99}
0.1051	6.0	3000	0.0123	{'accuracy': 0.998}
0.0886	7.0	3500	0.0011	{'accuracy': 0.999}
0.043	8.0	4000	0.0002	{'accuracy': 1.0}
0.0285	9.0	4500	0.0000	{'accuracy': 1.0}
0.0076	10.0	5000	0.0000	{'accuracy': 1.0}