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Mobe1/
argos-dentsight-stage2-conditions-v4

Name: argos-dentsight-stage2-conditions-v4
Availability: InStock

generated_from_trainer

Mobe1/argos-dentsight-stage2-conditions-v3

finetune

apache-2.0

endpoints_compatible

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argos-dentsight-stage2-conditions-v4

This model is a fine-tuned version of Mobe1/argos-dentsight-stage2-conditions-v3 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.8800
Map: 0.4331
Map 50: 0.5866
Map 75: 0.4683
Map Small: 0.046
Map Medium: 0.4224
Map Large: 0.4605
Mar 1: 0.2348
Mar 10: 0.574
Mar 100: 0.5947
Mar Small: 0.1361
Mar Medium: 0.5974
Mar Large: 0.6607
Map Rc-treated: 0.7236
Mar 100 Rc-treated: 0.8204
Map Bridge: 0.7044
Mar 100 Bridge: 0.8463
Map Calculus: 0.0228
Mar 100 Calculus: 0.1769
Map Caries: 0.0706
Mar 100 Caries: 0.2785
Map Crown: 0.7386
Mar 100 Crown: 0.8759
Map Impacted: 0.7186
Mar 100 Impacted: 0.8926
Map Implant: 0.7459
Mar 100 Implant: 0.8329
Map Missing: 0.2501
Mar 100 Missing: 0.3843
Map Other-finding: 0.0841
Mar 100 Other-finding: 0.3846
Map Periapical-radiolucency: 0.0745
Mar 100 Periapical-radiolucency: 0.2142
Map Restoration: 0.3504
Mar 100 Restoration: 0.4617
Map Root-stump: 0.4743
Mar 100 Root-stump: 0.6753
Map Tooth-bud: 0.6728
Mar 100 Tooth-bud: 0.8875

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 4
eval_batch_size: 2
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 18.0

Training results

Training Loss	Epoch	Step	Validation Loss	Map	Map 50	Map 75	Map Small	Map Medium	Map Large	Mar 1	Mar 10	Mar 100	Mar Small	Mar Medium	Mar Large	Map Rc-treated	Mar 100 Rc-treated	Map Bridge	Mar 100 Bridge	Map Calculus	Mar 100 Calculus	Map Caries	Mar 100 Caries	Map Crown	Mar 100 Crown	Map Impacted	Mar 100 Impacted	Map Implant	Mar 100 Implant	Map Missing	Mar 100 Missing	Map Other-finding	Mar 100 Other-finding	Map Periapical-radiolucency	Mar 100 Periapical-radiolucency	Map Restoration	Mar 100 Restoration	Map Root-stump	Mar 100 Root-stump	Map Tooth-bud	Mar 100 Tooth-bud
21.154	1.0	557	2.7684	0.4177	0.5542	0.4531	0.0387	0.3998	0.454	0.2259	0.5577	0.5785	0.097	0.6031	0.6146	0.7236	0.8118	0.7264	0.8894	0.0331	0.166	0.03	0.2287	0.7102	0.8799	0.6568	0.8943	0.7399	0.8197	0.2242	0.3501	0.1087	0.3288	0.0565	0.229	0.331	0.4173	0.4013	0.6131	0.6879	0.8917
21.8071	2.0	1114	2.6982	0.4274	0.5723	0.4638	0.0392	0.4135	0.4624	0.2334	0.5732	0.5912	0.1008	0.6142	0.6285	0.7158	0.813	0.6905	0.887	0.0253	0.1603	0.0293	0.2361	0.7341	0.8617	0.6878	0.8993	0.768	0.8395	0.2225	0.3473	0.1087	0.4365	0.0594	0.1882	0.3521	0.483	0.4492	0.6335	0.7134	0.9
21.6791	3.0	1671	2.7436	0.4321	0.5807	0.4652	0.0457	0.4049	0.461	0.2466	0.5825	0.6073	0.1138	0.6352	0.6407	0.7239	0.8143	0.6748	0.8992	0.0265	0.1612	0.0457	0.2832	0.7246	0.8769	0.6852	0.8998	0.7498	0.8395	0.2248	0.3509	0.1418	0.5115	0.0857	0.2163	0.3564	0.4938	0.465	0.6781	0.7128	0.8708
21.4852	4.0	2228	2.6003	0.449	0.6012	0.4847	0.0459	0.4388	0.4855	0.2418	0.5876	0.6127	0.1248	0.6289	0.6651	0.7417	0.8309	0.7348	0.9154	0.0225	0.1466	0.0714	0.3212	0.7375	0.8811	0.7294	0.9097	0.7633	0.8329	0.2411	0.3699	0.1552	0.4481	0.0733	0.216	0.3739	0.5158	0.4658	0.6904	0.7272	0.8875
21.4971	5.0	2785	2.7692	0.4338	0.5751	0.4733	0.0433	0.4226	0.4559	0.2349	0.5798	0.6063	0.1181	0.6277	0.7094	0.7264	0.8309	0.701	0.8967	0.0196	0.1508	0.0469	0.2765	0.7359	0.8838	0.7287	0.8945	0.7429	0.8197	0.216	0.3436	0.1251	0.4654	0.0763	0.2505	0.3709	0.5249	0.4505	0.6486	0.6988	0.8958
21.0136	6.0	3342	2.6982	0.4341	0.5821	0.4723	0.0455	0.4164	0.4643	0.2442	0.5807	0.6073	0.115	0.6136	0.678	0.7352	0.8261	0.678	0.8886	0.0358	0.1771	0.0519	0.2844	0.7163	0.8714	0.7173	0.8989	0.7533	0.8395	0.2417	0.3702	0.1291	0.4827	0.08	0.2154	0.3385	0.4768	0.4653	0.6765	0.701	0.8875
20.883	7.0	3899	2.7700	0.4336	0.5767	0.4706	0.0445	0.4193	0.45	0.2365	0.5811	0.6056	0.1398	0.6197	0.6717	0.7299	0.834	0.6733	0.8813	0.023	0.1751	0.0394	0.2756	0.7309	0.8739	0.7025	0.8943	0.7464	0.8289	0.2236	0.3708	0.1096	0.4692	0.0638	0.2094	0.3615	0.4906	0.4574	0.6777	0.7749	0.8917
20.4566	8.0	4456	2.8283	0.4354	0.5833	0.4692	0.0398	0.4154	0.4658	0.2353	0.5744	0.5967	0.1024	0.6141	0.6327	0.7291	0.8235	0.691	0.8699	0.0251	0.1623	0.0347	0.247	0.7185	0.8649	0.7257	0.8979	0.7619	0.8382	0.2418	0.3842	0.0964	0.4365	0.0726	0.2257	0.341	0.4393	0.4706	0.6761	0.7518	0.8917
20.0491	9.0	5013	2.8166	0.4365	0.5855	0.4738	0.0491	0.4256	0.4698	0.2382	0.583	0.6071	0.1226	0.6071	0.6753	0.7315	0.8289	0.6859	0.8561	0.0271	0.1714	0.0747	0.3047	0.7369	0.8794	0.7306	0.9062	0.753	0.8329	0.2501	0.3817	0.0849	0.4442	0.0772	0.2184	0.3604	0.4857	0.4852	0.6956	0.677	0.8875
19.7247	10.0	5570	2.8688	0.4333	0.5784	0.4694	0.0451	0.432	0.4578	0.2357	0.5765	0.5981	0.1144	0.6023	0.6449	0.7236	0.822	0.6917	0.848	0.0146	0.1497	0.0573	0.2913	0.7216	0.8766	0.7325	0.9025	0.756	0.8303	0.2429	0.3777	0.1088	0.4096	0.0731	0.2221	0.3527	0.4721	0.4591	0.6781	0.6988	0.8958
19.3504	11.0	6127	2.8230	0.4418	0.5959	0.4803	0.0476	0.4291	0.4667	0.2413	0.5849	0.6104	0.1473	0.6209	0.6875	0.7253	0.8151	0.7074	0.8707	0.0172	0.1798	0.066	0.3128	0.7386	0.8764	0.7331	0.9037	0.7522	0.8408	0.252	0.387	0.1285	0.4731	0.0794	0.2254	0.3523	0.4696	0.4698	0.6845	0.7221	0.8958
19.1338	12.0	6684	2.8955	0.4384	0.5888	0.4768	0.0465	0.4271	0.4678	0.2339	0.5811	0.6016	0.1271	0.6098	0.6793	0.7188	0.812	0.7056	0.848	0.0207	0.1712	0.0634	0.2749	0.7324	0.8808	0.7395	0.9	0.7578	0.8368	0.2476	0.3772	0.0967	0.475	0.0729	0.2082	0.3577	0.4719	0.4698	0.6733	0.7157	0.8917
18.7777	13.0	7241	2.9031	0.4308	0.581	0.466	0.0478	0.4204	0.4597	0.2311	0.5799	0.6013	0.1371	0.6176	0.6585	0.724	0.8199	0.6955	0.8683	0.02	0.1715	0.058	0.2702	0.7248	0.8761	0.7206	0.8947	0.7475	0.8329	0.2475	0.3847	0.0892	0.4615	0.0788	0.2215	0.3623	0.4753	0.4737	0.6741	0.6593	0.8667
18.5211	14.0	7798	2.8804	0.4364	0.5872	0.4725	0.0461	0.4243	0.467	0.237	0.5789	0.6003	0.1126	0.6037	0.6639	0.725	0.8199	0.6988	0.8512	0.0211	0.1666	0.0698	0.2908	0.7269	0.8759	0.7348	0.9037	0.7539	0.8408	0.2458	0.3809	0.0865	0.4135	0.0754	0.2254	0.3541	0.4654	0.462	0.6745	0.7185	0.8958
18.3289	15.0	8355	2.8782	0.4337	0.5859	0.4692	0.0463	0.4213	0.4648	0.2335	0.5728	0.5927	0.1175	0.5876	0.6244	0.7247	0.8184	0.7037	0.8415	0.0219	0.1746	0.0698	0.2789	0.7351	0.8764	0.7221	0.8899	0.7505	0.8355	0.2516	0.3862	0.0935	0.3923	0.0751	0.2094	0.3487	0.4563	0.4685	0.6753	0.6732	0.8708
18.1294	16.0	8912	2.8917	0.4333	0.5854	0.4701	0.0464	0.4225	0.4604	0.2338	0.5743	0.5966	0.1366	0.608	0.661	0.7237	0.821	0.703	0.8585	0.021	0.1768	0.0648	0.2755	0.7344	0.8759	0.7202	0.8917	0.7528	0.8368	0.2502	0.3846	0.0817	0.3865	0.0747	0.2148	0.3534	0.4677	0.4755	0.6781	0.6775	0.8875
17.8753	17.0	9469	2.8867	0.4323	0.5847	0.468	0.046	0.4202	0.4627	0.2334	0.5725	0.5939	0.1361	0.5965	0.6608	0.7239	0.8194	0.7068	0.8463	0.022	0.1762	0.0689	0.2783	0.7383	0.8751	0.7192	0.8924	0.7468	0.8342	0.2504	0.384	0.0808	0.3769	0.0753	0.2145	0.3502	0.4617	0.475	0.6745	0.6624	0.8875
17.8355	18.0	10026	2.8800	0.4331	0.5866	0.4683	0.046	0.4224	0.4605	0.2348	0.574	0.5947	0.1361	0.5974	0.6607	0.7236	0.8204	0.7044	0.8463	0.0228	0.1769	0.0706	0.2785	0.7386	0.8759	0.7186	0.8926	0.7459	0.8329	0.2501	0.3843	0.0841	0.3846	0.0745	0.2142	0.3504	0.4617	0.4743	0.6753	0.6728	0.8875

Framework versions

Transformers 4.57.6
Pytorch 2.11.0+cu130
Datasets 4.8.5
Tokenizers 0.22.2

Mobe1/argos-dentsight-stage2-conditions-v4

argos-dentsight-stage2-conditions-v4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Mobe1/
argos-dentsight-stage2-conditions-v4