mobilenetv2-typecoffee-6

Master-Rapha7/mobilenetv2-typecoffee-6

mobilenetv2-typecoffee-6 is a image classification model from Master-Rapha7. Use it when you need a label for an image. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Image Classification
Library: transformers
Model type: mobilenet_v2
Access: Public
Created: Mar 8, 2025
Updated: Mar 10, 2025
SHA: 5e7cb09b

Base models

google/mobilenet_v2_1.0_224

Model card

From the Hugging Face model README

mobilenetv2-typecoffee-6

This model is a fine-tuned version of google/mobilenet_v2_1.0_224 on the Master-Rapha7/TypeCoffee_16x16 dataset. It achieves the following results on the evaluation set:

Loss: 0.9977
Accuracy: 0.6484
Precision: 0.6521
Recall: 0.6499
F1: 0.6481
Precision Durariadorio 16x16: 0.6117
Recall Durariadorio 16x16: 0.6476
F1 Durariadorio 16x16: 0.6291
Precision Mole 16x16: 0.6444
Recall Mole 16x16: 0.7439
F1 Mole 16x16: 0.6906
Precision Quebrado 16x16: 0.7168
Recall Quebrado 16x16: 0.7635
F1 Quebrado 16x16: 0.7394
Precision Riadorio 16x16: 0.5405
Recall Riadorio 16x16: 0.5049
F1 Riadorio 16x16: 0.5221
Precision Riofechado 16x16: 0.7474
Recall Riofechado 16x16: 0.5896
F1 Riofechado 16x16: 0.6591

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: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 100.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1	Precision Durariadorio 16x16	Recall Durariadorio 16x16	F1 Durariadorio 16x16	Precision Mole 16x16	Recall Mole 16x16	F1 Mole 16x16	Precision Quebrado 16x16	Recall Quebrado 16x16	F1 Quebrado 16x16	Precision Riadorio 16x16	Recall Riadorio 16x16	F1 Riadorio 16x16	Precision Riofechado 16x16	Recall Riofechado 16x16	F1 Riofechado 16x16
1.2625	1.0	5812	1.6692	0.4037	0.4782	0.4022	0.3558	0.5077	0.2014	0.2884	0.7417	0.1159	0.2005	0.4020	0.9197	0.5595	0.3520	0.5103	0.4166	0.3875	0.2638	0.3139
1.2046	2.0	11624	1.4500	0.4525	0.5101	0.4517	0.4112	0.5068	0.3728	0.4296	0.7453	0.1029	0.1808	0.4531	0.9284	0.6090	0.3914	0.5016	0.4397	0.4540	0.3529	0.3971
1.1274	3.0	17436	1.2716	0.5298	0.5536	0.5309	0.5182	0.5601	0.3924	0.4615	0.7089	0.4227	0.5296	0.4842	0.9106	0.6322	0.5134	0.4260	0.4656	0.5015	0.5026	0.5021
1.138	4.0	23248	1.1629	0.5511	0.6036	0.5514	0.5411	0.4085	0.6619	0.5052	0.6667	0.5130	0.5798	0.6363	0.8286	0.7198	0.4929	0.4716	0.4820	0.8137	0.2818	0.4187
1.1274	5.0	29060	1.8812	0.4208	0.5119	0.4213	0.3963	0.5736	0.3433	0.4295	0.6998	0.2478	0.3660	0.3307	0.9709	0.4933	0.5429	0.3302	0.4106	0.4125	0.2142	0.2820
1.1279	6.0	34872	1.1897	0.5340	0.6094	0.5350	0.5403	0.3720	0.8077	0.5094	0.7060	0.4627	0.5590	0.7809	0.5647	0.6554	0.4942	0.4182	0.4530	0.6939	0.4219	0.5247
1.058	7.0	40684	1.5140	0.5188	0.5621	0.5174	0.4943	0.7164	0.2687	0.3908	0.6128	0.2878	0.3916	0.5492	0.9006	0.6823	0.4179	0.6427	0.5065	0.5144	0.4873	0.5005
1.0996	8.0	46496	1.2113	0.5762	0.6049	0.5799	0.5530	0.5131	0.5456	0.5288	0.4731	0.8624	0.6110	0.7035	0.8589	0.7735	0.5741	0.2134	0.3112	0.7610	0.4192	0.5406
1.0587	9.0	52308	2.0438	0.4199	0.4449	0.4234	0.3784	0.4612	0.2452	0.3202	0.5010	0.2144	0.3003	0.3869	0.8563	0.5330	0.4523	0.1501	0.2254	0.4231	0.6510	0.5129
0.9988	10.0	58120	1.2635	0.5622	0.6269	0.5646	0.5670	0.3884	0.8273	0.5286	0.68	0.4353	0.5308	0.8403	0.6302	0.7202	0.5170	0.3503	0.4176	0.7087	0.5799	0.6379
1.0754	11.0	63932	1.2551	0.5402	0.5648	0.5416	0.5280	0.6612	0.3668	0.4718	0.6002	0.5877	0.5939	0.4749	0.9080	0.6236	0.4877	0.3980	0.4383	0.6001	0.4473	0.5126
0.9792	12.0	69744	1.1130	0.5909	0.6336	0.5910	0.5967	0.5380	0.6450	0.5867	0.6287	0.7018	0.6632	0.8552	0.4922	0.6248	0.4332	0.5773	0.4950	0.7130	0.5386	0.6137
0.9902	13.0	75556	1.7618	0.5069	0.5646	0.5062	0.4692	0.6817	0.1897	0.2968	0.7108	0.2305	0.3481	0.5603	0.9193	0.6963	0.4503	0.5851	0.5089	0.4196	0.6067	0.4961
1.0104	14.0	81368	1.2619	0.5685	0.5930	0.5680	0.5674	0.5790	0.4627	0.5144	0.6687	0.3837	0.4876	0.7634	0.7548	0.7591	0.4355	0.6197	0.5115	0.5186	0.6194	0.5645
1.0061	15.0	87180	1.2753	0.5459	0.6480	0.5439	0.5399	0.4603	0.7070	0.5576	0.7841	0.2144	0.3367	0.8868	0.5851	0.7050	0.4004	0.7109	0.5123	0.7084	0.5022	0.5877
1.0244	16.0	92992	1.1749	0.5976	0.6072	0.6005	0.5860	0.6103	0.4779	0.5360	0.6754	0.5799	0.6240	0.5897	0.8772	0.7053	0.6251	0.3565	0.4540	0.5354	0.7112	0.6109
0.9428	17.0	98804	1.5114	0.5323	0.5746	0.5342	0.5212	0.5866	0.4544	0.5121	0.7265	0.3863	0.5044	0.4402	0.9384	0.5993	0.5061	0.3557	0.4178	0.6135	0.5364	0.5724
1.01	18.0	104616	1.2251	0.6045	0.6491	0.6042	0.5962	0.7151	0.3954	0.5092	0.7972	0.3889	0.5228	0.7216	0.8359	0.7746	0.4595	0.6641	0.5431	0.5520	0.7366	0.6311
0.9718	19.0	110428	1.5229	0.5230	0.5801	0.5265	0.4906	0.5040	0.5972	0.5467	0.8532	0.2144	0.3427	0.5845	0.8724	0.7000	0.5310	0.2397	0.3303	0.4277	0.7090	0.5335
1.0278	20.0	116240	1.8706	0.4949	0.6150	0.4966	0.4757	0.4317	0.6020	0.5028	0.8457	0.1380	0.2373	0.8845	0.5152	0.6511	0.5237	0.4091	0.4594	0.3893	0.8187	0.5277
0.9218	21.0	122052	2.4841	0.4389	0.4934	0.4423	0.3747	0.4871	0.2452	0.3262	0.3765	0.7951	0.5110	0.4594	0.9084	0.6102	0.4320	0.0822	0.1382	0.7123	0.1804	0.2879
0.9428	22.0	127864	1.3792	0.5750	0.6286	0.5790	0.5715	0.5966	0.5521	0.5735	0.7476	0.5039	0.6020	0.8167	0.6710	0.7367	0.5645	0.2841	0.3780	0.4176	0.8837	0.5672
0.9655	23.0	133676	1.0168	0.6582	0.6850	0.6617	0.6480	0.5303	0.7409	0.6181	0.6220	0.7769	0.6909	0.7292	0.8542	0.7867	0.7668	0.3339	0.4652	0.7770	0.6027	0.6789
0.9555	24.0	139488	1.3301	0.5775	0.6266	0.5812	0.5469	0.7714	0.2344	0.3595	0.5999	0.6918	0.6426	0.6177	0.8485	0.7149	0.6728	0.3018	0.4167	0.4712	0.8292	0.6009
0.9223	25.0	145300	0.9977	0.6484	0.6521	0.6499	0.6481	0.6117	0.6476	0.6291	0.6444	0.7439	0.6906	0.7168	0.7635	0.7394	0.5405	0.5049	0.5221	0.7474	0.5896	0.6591
0.9173	26.0	151112	1.1396	0.6089	0.6132	0.6098	0.6064	0.6331	0.4427	0.5211	0.6615	0.6862	0.6736	0.6317	0.7743	0.6958	0.4870	0.5304	0.5078	0.6527	0.6155	0.6335
0.9415	27.0	156924	2.3761	0.4914	0.5752	0.4919	0.4544	0.3927	0.6246	0.4822	0.8830	0.0720	0.1332	0.5918	0.8173	0.6865	0.4004	0.4498	0.4237	0.6083	0.4956	0.5462
0.8774	28.0	162736	2.6208	0.4556	0.4789	0.4593	0.4250	0.6447	0.2331	0.3424	0.4919	0.4631	0.4771	0.4246	0.8030	0.5555	0.3879	0.1587	0.2253	0.4452	0.6387	0.5247
0.9192	29.0	168548	1.4115	0.5582	0.6661	0.5546	0.5623	0.5501	0.5786	0.5640	0.7143	0.3971	0.5105	0.8507	0.5786	0.6887	0.3844	0.8392	0.5273	0.8309	0.3797	0.5212
0.9385	30.0	174360	1.7991	0.5242	0.6013	0.5258	0.4951	0.8682	0.1801	0.2983	0.6005	0.6471	0.6229	0.4334	0.9523	0.5957	0.5297	0.3701	0.4357	0.5747	0.4794	0.5227
0.8657	31.0	180172	1.5598	0.5604	0.6076	0.5600	0.5487	0.7050	0.1940	0.3043	0.5674	0.6502	0.6060	0.7655	0.7001	0.7314	0.3876	0.6147	0.4754	0.6124	0.6409	0.6263
0.9113	32.0	185984	1.5645	0.5471	0.5585	0.5502	0.5393	0.5583	0.4154	0.4764	0.6045	0.5651	0.5841	0.6806	0.6910	0.6858	0.5007	0.3121	0.3845	0.4483	0.7673	0.5660
0.7984	33.0	191796	1.9436	0.5234	0.5926	0.5261	0.4854	0.7592	0.1437	0.2416	0.7091	0.4783	0.5713	0.4905	0.9327	0.6429	0.5586	0.3273	0.4128	0.4456	0.7485	0.5587
0.8127	34.0	197608	1.5944	0.5472	0.6128	0.5480	0.5344	0.6432	0.4327	0.5174	0.4922	0.7852	0.6051	0.9132	0.2878	0.4376	0.4700	0.5160	0.4920	0.5452	0.7182	0.6198
0.8669	35.0	203420	1.3820	0.6149	0.6440	0.6154	0.6036	0.6784	0.5100	0.5823	0.7929	0.3607	0.4958	0.5846	0.8984	0.7083	0.5163	0.5876	0.5496	0.6478	0.7204	0.6822
0.8443	36.0	209232	1.5135	0.5782	0.5985	0.5781	0.5678	0.6336	0.4414	0.5203	0.5498	0.7431	0.6320	0.648	0.8086	0.7194	0.4598	0.5456	0.4991	0.7014	0.3516	0.4684
0.8108	37.0	215044	1.4274	0.6031	0.6483	0.6056	0.6011	0.5206	0.7300	0.6078	0.6865	0.5920	0.6357	0.8774	0.5	0.6370	0.6460	0.4120	0.5031	0.5110	0.7941	0.6219
0.8155	38.0	220856	2.1082	0.5718	0.5900	0.5727	0.5611	0.5689	0.5373	0.5527	0.7209	0.3173	0.4406	0.5964	0.8312	0.6945	0.4600	0.5132	0.4851	0.6037	0.6646	0.6327
0.8587	39.0	226668	1.2546	0.6413	0.6524	0.6442	0.6351	0.5574	0.6549	0.6023	0.5898	0.7426	0.6574	0.7458	0.7986	0.7713	0.7196	0.3799	0.4973	0.6491	0.6449	0.6470
0.8124	40.0	232480	1.8312	0.5579	0.5858	0.5629	0.5373	0.4888	0.6150	0.5447	0.6586	0.5165	0.5789	0.7529	0.6997	0.7253	0.5702	0.1587	0.2483	0.4585	0.8248	0.5894
0.8602	41.0	238292	1.9507	0.5134	0.5892	0.5146	0.5000	0.5973	0.3902	0.4720	0.6989	0.2196	0.3342	0.7692	0.5816	0.6624	0.4921	0.4873	0.4897	0.3885	0.8942	0.5417
0.8136	42.0	244104	1.2960	0.6210	0.6213	0.6227	0.6174	0.6458	0.5564	0.5978	0.6721	0.6680	0.6700	0.6059	0.8142	0.6948	0.5570	0.4663	0.5076	0.6257	0.6084	0.6170
0.8146	43.0	249916	1.5908	0.5647	0.5820	0.5687	0.5432	0.5705	0.4214	0.4848	0.6037	0.6150	0.6093	0.5778	0.8668	0.6934	0.6651	0.2360	0.3484	0.4929	0.7041	0.5799
0.8045	44.0	255728	2.1165	0.5435	0.6027	0.5436	0.5250	0.6968	0.375	0.4876	0.8010	0.2812	0.4163	0.4908	0.9158	0.6391	0.4781	0.5440	0.5089	0.5469	0.6018	0.5730
0.8172	45.0	261540	2.4596	0.5096	0.6248	0.5128	0.5039	0.7288	0.2496	0.3718	0.6504	0.5048	0.5684	0.8274	0.5660	0.6722	0.5714	0.3109	0.4027	0.3458	0.9328	0.5045
0.7635	46.0	267352	1.6403	0.5456	0.6158	0.5429	0.5529	0.5380	0.3806	0.4459	0.6343	0.4757	0.5437	0.8389	0.6237	0.7155	0.3719	0.7685	0.5013	0.6959	0.4662	0.5584
0.7885	47.0	273164	1.7048	0.5754	0.6149	0.5775	0.5724	0.4429	0.6671	0.5324	0.7703	0.3741	0.5037	0.7741	0.6888	0.7290	0.5489	0.4157	0.4731	0.5380	0.7419	0.6237
0.8135	48.0	278976	1.3005	0.6211	0.6418	0.6230	0.6218	0.6381	0.5938	0.6151	0.6928	0.5755	0.6287	0.8042	0.6098	0.6937	0.5398	0.5016	0.5200	0.5342	0.8341	0.6512
0.8136	49.0	284788	1.7161	0.5690	0.5809	0.5705	0.5596	0.5968	0.4536	0.5154	0.6844	0.4028	0.5071	0.5826	0.8116	0.6783	0.5104	0.4650	0.4867	0.5306	0.7195	0.6108
0.7742	50.0	290600	1.5161	0.5997	0.6067	0.6009	0.6006	0.5444	0.6380	0.5875	0.6864	0.5330	0.6000	0.6999	0.7613	0.7293	0.4729	0.4910	0.4817	0.6299	0.5812	0.6046
0.7774	51.0	296412	4.2904	0.4461	0.5894	0.4508	0.4202	0.6654	0.1493	0.2439	0.5924	0.4896	0.5361	0.8191	0.5443	0.6540	0.5688	0.1291	0.2105	0.3013	0.9416	0.4566
0.7166	52.0	302224	2.6086	0.5367	0.5850	0.5397	0.5122	0.6281	0.3555	0.4540	0.4136	0.9210	0.5709	0.6617	0.8251	0.7344	0.4680	0.2348	0.3127	0.7534	0.3622	0.4892
0.7684	53.0	308036	2.5523	0.5268	0.5602	0.5295	0.4903	0.6517	0.1697	0.2693	0.5046	0.7331	0.5978	0.4800	0.9227	0.6315	0.5375	0.2919	0.3784	0.6270	0.5299	0.5744
0.7749	54.0	313848	2.1679	0.5323	0.6005	0.5360	0.5274	0.5914	0.4184	0.4901	0.7419	0.4280	0.5428	0.7818	0.6671	0.7199	0.5097	0.2693	0.3524	0.3777	0.8973	0.5316
0.7422	55.0	319660	1.3644	0.6202	0.6819	0.6187	0.6235	0.5310	0.7170	0.6102	0.7858	0.4666	0.5855	0.8068	0.7088	0.7546	0.4655	0.7290	0.5682	0.8206	0.4719	0.5992
0.7326	56.0	325472	1.6948	0.6008	0.6421	0.6013	0.5895	0.6777	0.4180	0.5170	0.7943	0.3485	0.4845	0.7396	0.8286	0.7816	0.4917	0.5958	0.5388	0.5074	0.8156	0.6256
0.7648	57.0	331284	1.9124	0.5460	0.5785	0.5464	0.5449	0.5254	0.5074	0.5162	0.7337	0.3420	0.4665	0.7054	0.6923	0.6988	0.4079	0.5362	0.4633	0.5201	0.6541	0.5794
0.7768	58.0	337096	2.0001	0.5515	0.6271	0.5547	0.5314	0.5096	0.5998	0.5510	0.8704	0.2448	0.3821	0.7121	0.7739	0.7417	0.6209	0.3178	0.4205	0.4226	0.8371	0.5616
0.7521	59.0	342908	2.1328	0.5616	0.5853	0.5636	0.5562	0.4727	0.6059	0.5311	0.5094	0.7261	0.5988	0.7370	0.7470	0.7420	0.4509	0.3458	0.3914	0.7561	0.3933	0.5175
0.7693	60.0	348720	2.0178	0.5387	0.5614	0.5399	0.5341	0.6972	0.3407	0.4577	0.56	0.6562	0.6043	0.5339	0.7240	0.6146	0.3921	0.4301	0.4102	0.6238	0.5487	0.5838
0.7369	61.0	354532	1.8310	0.5869	0.6164	0.5900	0.5759	0.6740	0.4110	0.5106	0.7007	0.5273	0.6018	0.6516	0.8424	0.7348	0.5999	0.3581	0.4485	0.4558	0.8108	0.5836
0.7791	62.0	360344	3.3122	0.4796	0.5204	0.4814	0.4547	0.6131	0.2552	0.3604	0.6397	0.2912	0.4002	0.4378	0.8867	0.5862	0.4395	0.3495	0.3894	0.4718	0.6242	0.5374
0.7385	63.0	366156	2.7403	0.5317	0.5487	0.5335	0.5204	0.5388	0.5091	0.5235	0.6591	0.5195	0.5811	0.4790	0.9002	0.6253	0.4569	0.3396	0.3896	0.6097	0.3990	0.4824
0.6977	64.0	371968	3.8466	0.4547	0.5072	0.4577	0.4241	0.6136	0.1840	0.2831	0.5676	0.2843	0.3788	0.5798	0.7739	0.6629	0.4322	0.2492	0.3161	0.3426	0.7972	0.4793
0.7026	65.0	377780	2.2445	0.5336	0.5846	0.5334	0.5219	0.6372	0.4779	0.5461	0.6531	0.4518	0.5341	0.4459	0.9167	0.6	0.4843	0.5074	0.4956	0.7028	0.3134	0.4335
0.7319	66.0	383592	1.8517	0.5921	0.6097	0.5940	0.5934	0.5156	0.6020	0.5555	0.5821	0.7292	0.6474	0.8411	0.5629	0.6745	0.4964	0.4276	0.4595	0.6131	0.6484	0.6303
0.7037	67.0	389404	1.6035	0.6197	0.6541	0.6205	0.6211	0.6533	0.4874	0.5583	0.7281	0.5347	0.6166	0.8408	0.6510	0.7339	0.5427	0.5925	0.5665	0.5053	0.8367	0.6301
0.7307	68.0	395216	2.4152	0.5647	0.6316	0.5692	0.5429	0.5066	0.5955	0.5475	0.8107	0.3681	0.5063	0.6879	0.8168	0.7468	0.7131	0.2188	0.3348	0.4398	0.8468	0.5789
0.731	69.0	401028	3.0934	0.4891	0.5599	0.4921	0.4684	0.6102	0.4193	0.4970	0.7122	0.3147	0.4365	0.3881	0.9666	0.5538	0.5608	0.2294	0.3256	0.5280	0.5303	0.5291
0.7365	70.0	406840	1.7706	0.5989	0.6174	0.6003	0.5913	0.6586	0.4722	0.5501	0.5229	0.8168	0.6376	0.6442	0.7960	0.7121	0.5197	0.4404	0.4767	0.7416	0.4763	0.5801
0.7129	71.0	412652	1.9947	0.5514	0.6603	0.5481	0.5586	0.7073	0.3555	0.4731	0.7332	0.4175	0.5321	0.7925	0.6797	0.7318	0.3516	0.8244	0.4929	0.7169	0.4636	0.5630
0.6914	72.0	418464	2.5763	0.5167	0.5818	0.5157	0.5044	0.4784	0.6866	0.5639	0.7268	0.3325	0.4562	0.5528	0.7183	0.6248	0.3971	0.5559	0.4633	0.7541	0.2853	0.4140
0.6815	73.0	424276	2.3497	0.5551	0.5953	0.5563	0.5521	0.6806	0.3043	0.4205	0.6536	0.5846	0.6172	0.7610	0.6480	0.7000	0.4260	0.4844	0.4533	0.4553	0.7603	0.5695
0.7438	74.0	430088	3.6554	0.4889	0.6087	0.4886	0.4610	0.6236	0.3207	0.4236	0.8442	0.1011	0.1806	0.7997	0.6359	0.7084	0.3633	0.5818	0.4473	0.4127	0.8033	0.5453
0.6709	75.0	435900	2.0066	0.6008	0.6045	0.6033	0.5884	0.6725	0.3867	0.4910	0.6082	0.6797	0.6419	0.6225	0.8372	0.7140	0.5517	0.3968	0.4616	0.5675	0.7160	0.6332
0.76	76.0	441712	1.7663	0.5992	0.6356	0.5986	0.5949	0.6654	0.4566	0.5416	0.7895	0.3989	0.5300	0.7035	0.8021	0.7495	0.4595	0.6669	0.5441	0.5599	0.6686	0.6094
0.7148	77.0	447524	2.0687	0.6083	0.6330	0.6080	0.6120	0.6335	0.5056	0.5624	0.6311	0.6593	0.6449	0.7473	0.7522	0.7497	0.4352	0.6188	0.5110	0.7179	0.5040	0.5922
0.6471	78.0	453336	3.5390	0.4843	0.5407	0.4854	0.4555	0.7602	0.1623	0.2675	0.5483	0.5004	0.5233	0.4311	0.9206	0.5872	0.4446	0.3746	0.4066	0.5194	0.4693	0.4931
0.7424	79.0	459148	2.3235	0.5606	0.6087	0.5637	0.5556	0.4784	0.7075	0.5708	0.7296	0.4262	0.5381	0.8071	0.5629	0.6633	0.5565	0.3302	0.4145	0.4721	0.7915	0.5914
0.7054	80.0	464960	3.6877	0.4990	0.5770	0.5002	0.4718	0.3735	0.8186	0.5129	0.7128	0.0894	0.1589	0.7956	0.6489	0.7148	0.4430	0.3960	0.4182	0.5601	0.5483	0.5541
0.6304	81.0	470772	2.7415	0.5360	0.5735	0.5394	0.5115	0.4136	0.7409	0.5309	0.5405	0.6545	0.5921	0.6376	0.7904	0.7058	0.5196	0.1854	0.2733	0.7564	0.3257	0.4554
0.7155	82.0	476584	2.7197	0.5313	0.5558	0.5320	0.5323	0.5025	0.4735	0.4876	0.6630	0.3698	0.4748	0.7162	0.6714	0.6931	0.3879	0.4910	0.4334	0.5092	0.6545	0.5728
0.6031	83.0	482396	2.0149	0.5929	0.6357	0.5956	0.5856	0.6568	0.4154	0.5089	0.5173	0.8168	0.6335	0.8628	0.5595	0.6788	0.6258	0.3906	0.4810	0.5158	0.7959	0.6259
0.6239	84.0	488208	2.4324	0.5538	0.6084	0.5545	0.5352	0.4871	0.6745	0.5657	0.8627	0.2509	0.3887	0.5444	0.8724	0.6704	0.5	0.4766	0.488	0.6478	0.4982	0.5633
0.6656	85.0	494020	2.6047	0.5341	0.5676	0.5330	0.5389	0.5842	0.4080	0.4804	0.6188	0.5087	0.5584	0.7051	0.6693	0.6867	0.3702	0.6164	0.4626	0.5597	0.4627	0.5066
0.6743	86.0	499832	2.3569	0.5811	0.5956	0.5854	0.5653	0.5293	0.4944	0.5112	0.6458	0.6055	0.625	0.6936	0.7713	0.7304	0.6217	0.2447	0.3511	0.4875	0.8112	0.6090
0.6588	87.0	505644	2.1204	0.5947	0.6213	0.5971	0.5896	0.5594	0.6254	0.5906	0.7598	0.4036	0.5272	0.7491	0.7465	0.7478	0.5464	0.4235	0.4772	0.4919	0.7862	0.6052
0.6914	88.0	511456	3.1284	0.5051	0.5568	0.5039	0.4926	0.6088	0.3134	0.4138	0.7347	0.2921	0.4180	0.5543	0.7756	0.6465	0.3783	0.6118	0.4676	0.5078	0.5268	0.5171
0.6262	89.0	517268	2.3910	0.5641	0.6059	0.5673	0.5319	0.7953	0.2192	0.3437	0.5283	0.7548	0.6215	0.5409	0.8607	0.6643	0.5945	0.3039	0.4022	0.5707	0.6980	0.6280
0.6209	90.0	523080	3.3476	0.4826	0.5516	0.4862	0.4752	0.3511	0.7886	0.4859	0.5591	0.4353	0.4895	0.8627	0.4336	0.5771	0.4466	0.1838	0.2604	0.5385	0.5896	0.5629
0.6806	91.0	528892	3.0868	0.5251	0.5438	0.5264	0.5099	0.6458	0.2595	0.3703	0.6048	0.4722	0.5303	0.5530	0.8312	0.6641	0.4041	0.4297	0.4165	0.5116	0.6396	0.5685
0.6452	92.0	534704	2.9336	0.5532	0.6052	0.5524	0.5364	0.6882	0.3468	0.4612	0.7733	0.3095	0.4420	0.5319	0.8728	0.6610	0.4517	0.6308	0.5264	0.5809	0.6023	0.5914
0.7151	93.0	540516	2.4665	0.5535	0.6065	0.5529	0.5360	0.5988	0.4696	0.5264	0.8445	0.2452	0.3801	0.5560	0.8615	0.6759	0.4449	0.6110	0.5149	0.5881	0.5773	0.5826
0.6112	94.0	546328	2.5413	0.5656	0.5860	0.5660	0.5434	0.6813	0.2218	0.3346	0.6448	0.5469	0.5918	0.5683	0.8989	0.6964	0.5101	0.5395	0.5244	0.5252	0.6229	0.5699
0.6329	95.0	552140	2.4825	0.5741	0.5935	0.5754	0.5659	0.5737	0.5187	0.5448	0.7532	0.4332	0.5500	0.5380	0.8919	0.6711	0.5457	0.4544	0.4958	0.5568	0.5790	0.5677
0.6281	96.0	557952	1.9398	0.5998	0.6073	0.6039	0.5876	0.5117	0.6654	0.5785	0.6928	0.5638	0.6217	0.7149	0.7726	0.7426	0.5688	0.2636	0.3602	0.5482	0.7542	0.6349
0.6549	97.0	563764	2.9523	0.5368	0.5574	0.5376	0.5173	0.6224	0.3455	0.4443	0.5288	0.7083	0.6056	0.5107	0.8789	0.6460	0.4900	0.4235	0.4543	0.6353	0.3319	0.4360
0.6468	98.0	569576	2.7905	0.5503	0.5699	0.5503	0.5437	0.6375	0.3984	0.4904	0.6687	0.5590	0.6090	0.5370	0.8433	0.6562	0.4346	0.5271	0.4764	0.5717	0.4236	0.4866
0.6366	99.0	575388	2.2962	0.5737	0.6114	0.5757	0.5667	0.5676	0.4501	0.5021	0.7789	0.3885	0.5184	0.7234	0.7717	0.7467	0.5370	0.4383	0.4827	0.4499	0.8301	0.5836
0.6384	100.0	581200	1.8486	0.6184	0.6367	0.6194	0.6204	0.5979	0.5512	0.5736	0.5639	0.7756	0.6530	0.8543	0.6081	0.7104	0.5330	0.5312	0.5321	0.6344	0.6308	0.6326

Framework versions

Transformers 4.49.0
Pytorch 2.6.0+cu118
Datasets 3.3.2
Tokenizers 0.21.0

Task: Image Classification
Library: transformers
Type: mobilenet_v2
Created: Mar 8, 2025
Updated: Mar 10, 2025