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 Chicken	Mar 100 Chicken	Map Duck	Mar 100 Duck	Map Plant	Mar 100 Plant
1.8277	1.0	100	1.7954	0.0273	0.0429	0.0322	0.0023	0.0189	0.1724	0.0322	0.0974	0.252	0.1333	0.2442	0.3118	0.0101	0.4325	0.0066	0.0358	0.0651	0.2877
1.6529	2.0	200	1.6153	0.0747	0.1142	0.0884	0.0115	0.0385	0.3795	0.0361	0.1619	0.2907	0.1407	0.2683	0.6732	0.0202	0.2592	0.0	0.0	0.2039	0.6129
1.5757	3.0	300	1.5640	0.1063	0.1635	0.12	0.152	0.0606	0.4749	0.0447	0.2034	0.2538	0.2444	0.2323	0.6948	0.0348	0.1246	0.0	0.0	0.2842	0.6369
1.3741	4.0	400	1.4431	0.1124	0.1636	0.1307	0.0213	0.0532	0.5408	0.0402	0.1769	0.2496	0.2259	0.2309	0.7725	0.015	0.0296	0.0	0.0	0.3222	0.7191
1.3922	5.0	500	1.3206	0.1518	0.2268	0.1758	0.1359	0.0896	0.5684	0.051	0.2012	0.2536	0.2667	0.2257	0.7954	0.0208	0.0358	0.0	0.0	0.4346	0.725
1.2718	6.0	600	1.2374	0.1656	0.2413	0.1854	0.1213	0.0965	0.6428	0.0467	0.2083	0.2438	0.1963	0.2155	0.7912	0.007	0.0121	0.0	0.0	0.4897	0.7193
1.1692	7.0	700	1.2744	0.188	0.276	0.2086	0.0	0.1374	0.6403	0.0565	0.2173	0.2364	0.0	0.2066	0.7565	0.0238	0.0304	0.0	0.0	0.5402	0.6789
1.1205	8.0	800	1.1032	0.2248	0.3159	0.2623	0.1032	0.1919	0.6805	0.0781	0.264	0.285	0.2481	0.2604	0.785	0.0718	0.1358	0.0	0.0	0.6025	0.7191
1.1331	9.0	900	1.1086	0.2243	0.3351	0.2575	0.0355	0.1898	0.6761	0.0903	0.3044	0.331	0.2704	0.3025	0.7918	0.0842	0.2725	0.0002	0.0007	0.5884	0.7199
1.0573	10.0	1000	1.0497	0.2609	0.3848	0.2961	0.1714	0.2329	0.7023	0.1019	0.3431	0.3617	0.2556	0.331	0.7879	0.1495	0.3654	0.0084	0.0095	0.6248	0.7104
1.2048	11.0	1100	1.0155	0.3063	0.4403	0.3541	0.2089	0.2905	0.6859	0.1203	0.4108	0.4412	0.2333	0.4181	0.7663	0.2528	0.5717	0.0443	0.0486	0.6217	0.7033
1.0135	12.0	1200	0.9896	0.3031	0.4506	0.3501	0.3099	0.2756	0.6828	0.1195	0.4114	0.4319	0.3259	0.4	0.765	0.2659	0.5738	0.0333	0.0338	0.6101	0.6881
1.0212	13.0	1300	1.0943	0.3275	0.4723	0.3971	0.2373	0.3166	0.638	0.1258	0.444	0.4607	0.2481	0.4422	0.7229	0.3622	0.6779	0.0289	0.0358	0.5915	0.6684
0.9173	14.0	1400	0.9510	0.3389	0.4909	0.4013	0.2408	0.3205	0.6806	0.1251	0.4614	0.4832	0.363	0.4563	0.7683	0.359	0.7088	0.0406	0.0385	0.617	0.7023
0.8862	15.0	1500	0.9053	0.3771	0.5484	0.438	0.1616	0.3555	0.7143	0.1432	0.4874	0.5095	0.3148	0.4825	0.7882	0.4009	0.7129	0.0861	0.0953	0.6442	0.7203
0.9012	16.0	1600	0.9406	0.3889	0.5543	0.4661	0.185	0.3682	0.7036	0.1338	0.4758	0.4894	0.2704	0.466	0.7752	0.4708	0.6983	0.0509	0.0561	0.6451	0.7137
0.864	17.0	1700	0.8412	0.3906	0.5531	0.4728	0.2214	0.3729	0.7195	0.141	0.4916	0.514	0.2407	0.4925	0.7938	0.4593	0.7454	0.055	0.0608	0.6574	0.7357
0.7657	18.0	1800	0.8316	0.4046	0.5714	0.4843	0.1751	0.3865	0.7221	0.1539	0.5089	0.5296	0.3444	0.5031	0.7951	0.459	0.7546	0.0935	0.1054	0.6612	0.7287
0.8597	19.0	1900	0.8379	0.4105	0.5831	0.4949	0.2155	0.3935	0.7089	0.1394	0.4875	0.5033	0.2222	0.4807	0.7801	0.5315	0.7371	0.0509	0.0541	0.649	0.7188
0.7747	20.0	2000	0.8280	0.4182	0.5924	0.5143	0.2735	0.3993	0.6977	0.1392	0.4881	0.5025	0.2741	0.4789	0.7748	0.5537	0.735	0.0585	0.0601	0.6424	0.7125
0.7621	21.0	2100	0.7842	0.4345	0.6189	0.5267	0.1441	0.4145	0.7219	0.1461	0.5071	0.5213	0.3333	0.496	0.7915	0.556	0.7404	0.0915	0.1	0.6559	0.7234
0.7609	22.0	2200	0.7726	0.4249	0.5906	0.5262	0.1769	0.4043	0.7519	0.1291	0.4878	0.5039	0.3296	0.4788	0.8114	0.5697	0.7404	0.025	0.0223	0.68	0.749
0.7386	23.0	2300	0.7575	0.4478	0.6312	0.5444	0.3547	0.4234	0.7451	0.1477	0.5171	0.5308	0.3778	0.5035	0.8108	0.5688	0.7392	0.0972	0.1074	0.6773	0.7457
0.8086	24.0	2400	0.8128	0.4589	0.6456	0.5643	0.3348	0.4367	0.7173	0.1552	0.5206	0.5346	0.3407	0.5069	0.7863	0.5936	0.7433	0.1297	0.1419	0.6533	0.7186
0.7901	25.0	2500	0.7641	0.4724	0.6601	0.5711	0.2783	0.4507	0.7255	0.1638	0.54	0.5534	0.2926	0.5284	0.7895	0.5919	0.7571	0.1618	0.1777	0.6636	0.7254
0.7292	26.0	2600	0.7594	0.4769	0.6881	0.5651	0.3251	0.458	0.7166	0.1577	0.5427	0.555	0.3333	0.529	0.7918	0.5987	0.7479	0.1743	0.1899	0.6576	0.7273
0.6989	27.0	2700	0.7371	0.5386	0.7406	0.6675	0.3238	0.5192	0.7394	0.1833	0.6022	0.6144	0.3222	0.5895	0.8033	0.644	0.7683	0.2977	0.3372	0.6741	0.7377
0.7199	28.0	2800	0.6863	0.5527	0.7655	0.6766	0.3825	0.5321	0.7545	0.1845	0.6204	0.633	0.3889	0.6111	0.8141	0.6372	0.7758	0.3264	0.3696	0.6944	0.7537
0.6656	29.0	2900	0.6749	0.5543	0.7595	0.6732	0.3931	0.5343	0.7568	0.1765	0.608	0.6206	0.3963	0.5957	0.8183	0.6634	0.7704	0.3048	0.3385	0.6946	0.7529
0.6462	30.0	3000	0.6701	0.5793	0.8205	0.6987	0.3248	0.5603	0.7541	0.1903	0.6341	0.6478	0.3333	0.6225	0.8196	0.6641	0.7571	0.3821	0.4345	0.6916	0.752
0.6706	31.0	3100	0.6555	0.6146	0.8476	0.7482	0.364	0.5938	0.7543	0.2091	0.6742	0.6883	0.3704	0.6637	0.8193	0.6567	0.7583	0.4974	0.5547	0.6897	0.752
0.6464	32.0	3200	0.6445	0.6235	0.8621	0.7518	0.4682	0.6042	0.7563	0.207	0.6797	0.6951	0.4889	0.6696	0.819	0.6768	0.7713	0.4988	0.5601	0.6947	0.7539
0.5998	33.0	3300	0.6266	0.6292	0.8724	0.7738	0.4007	0.6132	0.7534	0.2113	0.6863	0.7008	0.4148	0.6787	0.818	0.6862	0.7758	0.5049	0.5682	0.6965	0.7584
0.6153	34.0	3400	0.6388	0.6202	0.8619	0.7475	0.417	0.6012	0.7515	0.2027	0.6755	0.6903	0.4185	0.6657	0.8167	0.6957	0.7804	0.4766	0.5392	0.6884	0.7512
0.5857	35.0	3500	0.6126	0.6426	0.8968	0.797	0.4822	0.6215	0.7521	0.218	0.6984	0.7132	0.4963	0.6895	0.8111	0.6907	0.7721	0.5477	0.6169	0.6894	0.7506
0.5625	36.0	3600	0.6348	0.6329	0.8926	0.7794	0.4634	0.6143	0.7436	0.2184	0.6909	0.7051	0.4815	0.6816	0.8082	0.6803	0.7679	0.5335	0.6	0.685	0.7475
0.5969	37.0	3700	0.6090	0.6643	0.9033	0.8282	0.4425	0.6453	0.7616	0.2295	0.7186	0.7334	0.4667	0.7117	0.8193	0.6971	0.7812	0.5944	0.6595	0.7013	0.7596
0.5882	38.0	3800	0.6197	0.6534	0.9061	0.811	0.4838	0.6356	0.7542	0.2241	0.7077	0.722	0.5	0.7002	0.8105	0.6798	0.7638	0.5863	0.6514	0.6941	0.7508
0.5455	39.0	3900	0.5811	0.6769	0.9265	0.8258	0.471	0.6573	0.7649	0.2312	0.7309	0.7461	0.4815	0.7225	0.8186	0.7126	0.7887	0.6156	0.6946	0.7023	0.7551
0.5654	40.0	4000	0.6227	0.662	0.9225	0.7937	0.4556	0.6472	0.749	0.2297	0.723	0.7351	0.4593	0.7155	0.8078	0.7022	0.7858	0.5892	0.6676	0.6945	0.7518
0.5414	41.0	4100	0.6159	0.6743	0.9156	0.813	0.4628	0.6597	0.753	0.234	0.7353	0.7477	0.4667	0.7275	0.8144	0.6968	0.7854	0.6274	0.7014	0.6987	0.7564
0.5337	42.0	4200	0.5916	0.6724	0.9252	0.8298	0.4644	0.656	0.7617	0.2346	0.7323	0.7456	0.463	0.7248	0.8183	0.6908	0.7758	0.6232	0.702	0.7034	0.759
0.5356	43.0	4300	0.6240	0.6713	0.9148	0.8097	0.5307	0.6517	0.767	0.2322	0.7304	0.7443	0.5333	0.7216	0.8225	0.6926	0.7825	0.6165	0.6899	0.7047	0.7605
0.5438	44.0	4400	0.6095	0.677	0.9178	0.8307	0.5792	0.6598	0.7614	0.235	0.7335	0.7477	0.5815	0.7264	0.8176	0.6938	0.7796	0.6331	0.7041	0.7042	0.7594
0.5397	45.0	4500	0.5821	0.6838	0.9288	0.8383	0.5075	0.6635	0.7693	0.2354	0.7406	0.7541	0.5185	0.7323	0.8232	0.7023	0.7883	0.6405	0.7108	0.7087	0.7633
0.4965	46.0	4600	0.5899	0.6809	0.9232	0.8247	0.4549	0.6644	0.7616	0.2351	0.7373	0.7505	0.4741	0.7294	0.8203	0.6995	0.7833	0.6402	0.7068	0.7031	0.7613
0.5718	47.0	4700	0.5733	0.6856	0.9248	0.8121	0.4957	0.666	0.7741	0.2389	0.7435	0.7561	0.5074	0.7326	0.8301	0.7131	0.7942	0.6321	0.7074	0.7117	0.7666
0.5055	48.0	4800	0.5774	0.6854	0.9236	0.8323	0.4892	0.6675	0.7673	0.2377	0.7399	0.7522	0.5037	0.7304	0.8196	0.7113	0.7887	0.6402	0.7088	0.7048	0.7592
0.5249	49.0	4900	0.5793	0.6855	0.9241	0.8387	0.506	0.6677	0.7659	0.2398	0.7394	0.7541	0.5185	0.7315	0.8196	0.7064	0.7862	0.6437	0.7176	0.7065	0.7584
0.5299	50.0	5000	0.5700	0.6888	0.9243	0.8388	0.4921	0.671	0.7666	0.2399	0.7411	0.7562	0.5037	0.7335	0.8235	0.7108	0.7892	0.648	0.7182	0.7075	0.7611
0.5028	51.0	5100	0.5649	0.6917	0.9274	0.844	0.5059	0.6739	0.7707	0.2404	0.7468	0.7606	0.5296	0.7371	0.8297	0.7104	0.7892	0.6552	0.725	0.7095	0.7678
0.5179	52.0	5200	0.5713	0.687	0.9277	0.8289	0.5104	0.6692	0.7662	0.2388	0.7419	0.7554	0.5222	0.7331	0.8216	0.7107	0.7921	0.6438	0.7128	0.7064	0.7611
0.5294	53.0	5300	0.5721	0.6889	0.9253	0.8264	0.4982	0.672	0.7665	0.2405	0.7444	0.7575	0.5111	0.7357	0.8225	0.7144	0.7946	0.6447	0.7155	0.7076	0.7625
0.528	54.0	5400	0.5722	0.6836	0.9247	0.8239	0.4957	0.6674	0.7658	0.2388	0.7388	0.754	0.5074	0.7324	0.8212	0.71	0.7937	0.6335	0.7068	0.7073	0.7615
0.498	55.0	5500	0.5722	0.6844	0.926	0.8314	0.4957	0.6676	0.7653	0.2393	0.7405	0.7541	0.5074	0.7317	0.8232	0.7128	0.7929	0.634	0.7074	0.7065	0.7619
0.5066	56.0	5600	0.5726	0.6853	0.9229	0.8279	0.4957	0.6691	0.7678	0.2396	0.741	0.7541	0.5074	0.7317	0.8242	0.7145	0.7929	0.6348	0.7068	0.7066	0.7627
0.4986	57.0	5700	0.5714	0.6872	0.9231	0.8224	0.4957	0.6713	0.7657	0.2396	0.7422	0.7552	0.5074	0.733	0.8235	0.7165	0.7937	0.6373	0.7095	0.7077	0.7625
0.4709	58.0	5800	0.5714	0.6869	0.9233	0.8248	0.5044	0.6709	0.7655	0.2394	0.7421	0.7552	0.5185	0.7331	0.8229	0.7157	0.7929	0.6374	0.7101	0.7075	0.7625
0.4974	59.0	5900	0.5714	0.6872	0.9234	0.8248	0.5069	0.6712	0.7654	0.2394	0.7422	0.7553	0.5185	0.733	0.8229	0.7156	0.7929	0.6388	0.7108	0.7073	0.7621
0.4991	60.0	6000	0.5714	0.6874	0.9234	0.8248	0.5069	0.6714	0.7654	0.2397	0.7424	0.7555	0.5185	0.7332	0.8229	0.7156	0.7929	0.6392	0.7115	0.7073	0.7621

Framework versions

Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 2.19.2
Tokenizers 0.20.0

joe611/chickens-60-epoch-200-images

chickens-60-epoch-200-images

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

joe611/
chickens-60-epoch-200-images