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mmillet/
distilrubert-tiny-cased-conversational-v1_single_finetuned_on_cedr_augmented

Name: distilrubert-tiny-cased-conversational-v1_single_finetuned_on_cedr_augmented
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distilrubert-tiny-cased-conversational-v1_single_finetuned_on_cedr_augmented

This model is a fine-tuned version of DeepPavlov/distilrubert-tiny-cased-conversational-v1 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	F1	Precision	Recall
0.9172	1.0	69	0.5124	0.8246	0.8220	0.8271	0.8246
0.4709	2.0	138	0.4279	0.8528	0.8505	0.8588	0.8528
0.3194	3.0	207	0.3770	0.8737	0.8727	0.8740	0.8737
0.2459	4.0	276	0.3951	0.8685	0.8682	0.8692	0.8685
0.1824	5.0	345	0.4005	0.8831	0.8834	0.8841	0.8831
0.1515	6.0	414	0.4356	0.8800	0.8797	0.8801	0.8800
0.1274	7.0	483	0.4642	0.8727	0.8726	0.8731	0.8727
0.0833	8.0	552	0.5226	0.8633	0.8627	0.8631	0.8633
0.073	9.0	621	0.5327	0.8695	0.8686	0.8692	0.8695
0.0575	10.0	690	0.5908	0.8653	0.8656	0.8665	0.8653