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vedica1011/
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 an unknown 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
No log	1.0	250	0.3444	{'accuracy': 0.888}
0.4135	2.0	500	0.4854	{'accuracy': 0.887}
0.4135	3.0	750	0.6411	{'accuracy': 0.882}
0.2383	4.0	1000	0.6366	{'accuracy': 0.891}
0.2383	5.0	1250	0.7062	{'accuracy': 0.891}
0.1144	6.0	1500	0.7646	{'accuracy': 0.882}
0.1144	7.0	1750	0.9373	{'accuracy': 0.884}
0.0176	8.0	2000	1.0347	{'accuracy': 0.884}
0.0176	9.0	2250	0.9923	{'accuracy': 0.883}
0.0188	10.0	2500	0.9997	{'accuracy': 0.882}