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kanishka/
smolm-autoreg-bpe-babylm-base-1e-3

Name: smolm-autoreg-bpe-babylm-base-1e-3
Availability: InStock

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smolm-autoreg-bpe-babylm-base-1e-3

This model is a fine-tuned version of models/smolm-autoreg-bpe-babylm-base-1e-3/config.json 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
3.2352	1.0	10468	3.1040	0.4394
3.0865	2.0	20936	3.0063	0.4510
3.0278	3.0	31404	2.9597	0.4567
2.9932	4.0	41872	2.9350	0.4596
2.9675	5.0	52340	2.9148	0.4622
2.9492	6.0	62808	2.9016	0.4643
2.9344	7.0	73276	2.8918	0.4652
2.9213	8.0	83744	2.8834	0.4666
2.912	9.0	94212	2.8747	0.4676
2.9028	10.0	104680	2.8695	0.4684
2.8964	11.0	115148	2.8627	0.4693
2.8901	12.0	125616	2.8589	0.4698
2.8839	13.0	136084	2.8543	0.4703
2.8807	14.0	146552	2.8507	0.4709
2.8738	15.0	157020	2.8475	0.4712
2.8706	16.0	167488	2.8422	0.4720
2.8645	17.0	177956	2.8448	0.4718
2.8595	18.0	188424	2.8365	0.4728
2.8542	19.0	198892	2.8366	0.4728
2.8523	20.0	209360	2.8318	0.4731
2.8479	21.0	219828	2.8316	0.4736
2.849	22.0	230296	2.8298	0.4739
2.8451	23.0	240764	2.8291	0.4739
2.8436	24.0	251232	2.8244	0.4744
2.8387	25.0	261700	2.8247	0.4745
2.8354	26.0	272168	2.8228	0.4750
2.8339	27.0	282636	2.8213	0.4751
2.8307	28.0	293104	2.8206	0.4752
2.8276	29.0	303572	2.8176	0.4756
2.8244	30.0	314040	2.8165	0.4757
2.8229	31.0	324508	2.8165	0.4757
2.8209	32.0	334976	2.8141	0.4761
2.8206	33.0	345444	2.8119	0.4763
2.8178	34.0	355912	2.8135	0.4764
2.8152	35.0	366380	2.8119	0.4766
2.813	36.0	376848	2.8106	0.4767
2.8107	37.0	387316	2.8081	0.4771
2.8113	38.0	397784	2.8091	0.4769
2.8073	39.0	408252	2.8078	0.4771
2.8061	40.0	418720	2.8078	0.4772