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rk68/
distilbert-q-classifier-2

Name: distilbert-q-classifier-2
Availability: InStock

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distilbert-q-classifier-2

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	Precision Weighted	Recall Weighted	F1 Weighted	Precision Macro	Recall Macro	F1 Macro
No log	1.0	48	0.2252	0.9144	0.9144	0.9144	0.9144	0.9144	0.9144	0.9144
No log	2.0	96	0.1682	0.9329	0.9333	0.9329	0.9329	0.9333	0.9329	0.9329
No log	3.0	144	0.2251	0.9236	0.9269	0.9236	0.9235	0.9269	0.9236	0.9235
No log	4.0	192	0.2421	0.9352	0.9376	0.9352	0.9351	0.9376	0.9352	0.9351
No log	5.0	240	0.2138	0.9375	0.9383	0.9375	0.9375	0.9383	0.9375	0.9375
No log	6.0	288	0.2165	0.9398	0.9399	0.9398	0.9398	0.9399	0.9398	0.9398
No log	7.0	336	0.2470	0.9398	0.9408	0.9398	0.9398	0.9408	0.9398	0.9398
No log	8.0	384	0.2509	0.9352	0.9353	0.9352	0.9352	0.9353	0.9352	0.9352
No log	9.0	432	0.2686	0.9352	0.9355	0.9352	0.9352	0.9355	0.9352	0.9352
No log	10.0	480	0.2779	0.9421	0.9429	0.9421	0.9421	0.9429	0.9421	0.9421