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ryota39/retriva-bert-preference-classifier

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face

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retriva-bert-preference-classifier

This model is a fine-tuned version of retrieva-jp/bert-1.3b 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	Precision	Recall	F1
0.6438	0.0080	100	0.6116	0.663	0.8721	0.382	0.5313
0.5113	0.0160	200	0.5442	0.699	0.6736	0.772	0.7195
0.4512	0.0240	300	0.5119	0.717	0.8359	0.54	0.6561
0.3916	0.0321	400	0.4936	0.702	0.7295	0.642	0.6830
0.3806	0.0401	500	0.4763	0.715	0.7708	0.612	0.6823
0.3581	0.0481	600	0.4597	0.754	0.75	0.762	0.7560
0.3308	0.0561	700	0.4690	0.742	0.7738	0.684	0.7261
0.3458	0.0641	800	0.4703	0.737	0.7423	0.726	0.7341
0.3475	0.0721	900	0.4728	0.737	0.7495	0.712	0.7303
0.3435	0.0801	1000	0.4714	0.737	0.7423	0.726	0.7341

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