mobilenetv2-typecoffee-2

Master-Rapha7/mobilenetv2-typecoffee-2

mobilenetv2-typecoffee-2 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 6, 2025
Updated: Mar 6, 2025
SHA: 049fb425

Base models

google/mobilenet_v2_1.0_224

Model card

From the Hugging Face model README

mobilenetv2-typecoffee-2

This model is a fine-tuned version of google/mobilenet_v2_1.0_224 on the Master-Rapha7/TypeCoffee_128x128 dataset. It achieves the following results on the evaluation set:

Loss: 0.3384
Accuracy: 0.8939
Precision: 0.8983
Recall: 0.8949
F1: 0.8958
Precision Durariadorio 128x128: 0.9545
Recall Durariadorio 128x128: 0.875
F1 Durariadorio 128x128: 0.9130
Precision Mole 128x128: 0.9858
Recall Mole 128x128: 0.9653
F1 Mole 128x128: 0.9754
Precision Quebrado 128x128: 0.8063
Recall Quebrado 128x128: 0.8958
F1 Quebrado 128x128: 0.8487
Precision Riadorio 128x128: 0.8158
Recall Riadorio 128x128: 0.8158
F1 Riadorio 128x128: 0.8158
Precision Riofechado 128x128: 0.9291
Recall Riofechado 128x128: 0.9225
F1 Riofechado 128x128: 0.9258

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 128x128	Recall Durariadorio 128x128	F1 Durariadorio 128x128	Precision Mole 128x128	Recall Mole 128x128	F1 Mole 128x128	Precision Quebrado 128x128	Recall Quebrado 128x128	F1 Quebrado 128x128	Precision Riadorio 128x128	Recall Riadorio 128x128	F1 Riadorio 128x128	Precision Riofechado 128x128	Recall Riofechado 128x128	F1 Riofechado 128x128
1.0709	1.0	364	1.2074	0.5179	0.5840	0.5157	0.4791	0.75	0.25	0.375	0.6444	0.2014	0.3069	0.5543	0.9931	0.7114	0.3970	0.6974	0.5060	0.5741	0.4366	0.496
0.7944	2.0	728	0.9347	0.6364	0.6970	0.6353	0.6462	0.7333	0.4583	0.5641	0.7431	0.5625	0.6403	0.8718	0.7083	0.7816	0.4191	0.75	0.5377	0.7174	0.6972	0.7071
0.8081	3.0	1092	1.7043	0.3747	0.6537	0.3782	0.3347	0.5405	0.4167	0.4706	0.8	0.0833	0.1509	0.9630	0.1806	0.3041	0.6957	0.2105	0.3232	0.2694	1.0	0.4245
0.8024	4.0	1456	1.5073	0.5014	0.6260	0.5063	0.4472	0.7778	0.1944	0.3111	0.6373	0.4514	0.5285	0.4613	0.9931	0.6300	0.8261	0.125	0.2171	0.4275	0.7676	0.5491
0.9541	5.0	1820	2.2240	0.4504	0.5819	0.4514	0.4270	0.3275	0.7847	0.4622	0.4975	0.6875	0.5773	0.9286	0.1806	0.3023	0.6364	0.3224	0.4279	0.5195	0.2817	0.3653
0.5358	6.0	2184	0.7352	0.7493	0.7677	0.7499	0.7374	0.8615	0.3889	0.5359	0.7517	0.7569	0.7543	0.8442	0.9028	0.8725	0.6096	0.75	0.6726	0.7714	0.9507	0.8517
0.4848	7.0	2548	1.4124	0.5978	0.7078	0.5949	0.5972	0.8108	0.4167	0.5505	0.5612	0.7639	0.6471	0.8165	0.6181	0.7036	0.4207	0.8026	0.5520	0.9298	0.3732	0.5327
0.6271	8.0	2912	1.1025	0.6433	0.7142	0.6495	0.6022	0.8143	0.3958	0.5327	0.6078	0.8611	0.7126	0.7421	0.8194	0.7789	0.8667	0.1711	0.2857	0.5399	1.0	0.7012
0.4748	9.0	3276	1.0572	0.6694	0.7185	0.6700	0.6822	0.8319	0.6528	0.7315	0.6493	0.6042	0.6259	0.7987	0.8819	0.8383	0.4062	0.5987	0.4840	0.9062	0.6127	0.7311
0.4721	10.0	3640	2.0767	0.5854	0.7156	0.5921	0.5216	0.5939	0.8125	0.6862	0.5519	0.9236	0.6909	0.9123	0.3611	0.5174	1.0	0.0395	0.0759	0.52	0.8239	0.6376
0.3891	11.0	4004	0.8680	0.7493	0.8243	0.7488	0.7505	0.8083	0.6736	0.7348	1.0	0.4028	0.5743	0.8693	0.9236	0.8956	0.4885	0.8355	0.6165	0.9556	0.9085	0.9314
0.4385	12.0	4368	0.5012	0.8320	0.8392	0.8343	0.8301	0.7821	0.8472	0.8133	0.9302	0.8333	0.8791	0.7692	0.9722	0.8589	0.8571	0.6316	0.7273	0.8571	0.8873	0.8720
0.5092	13.0	4732	0.8346	0.7782	0.8347	0.7790	0.7706	0.9667	0.4028	0.5686	0.9160	0.8333	0.8727	0.8658	0.8958	0.8805	0.8593	0.7632	0.8084	0.5657	1.0	0.7226
0.3634	14.0	5096	1.3165	0.6446	0.7551	0.6448	0.6445	0.7348	0.6736	0.7029	0.4410	0.9861	0.6094	0.9815	0.3681	0.5354	0.7881	0.6118	0.6889	0.83	0.5845	0.6860
0.4783	15.0	5460	1.6690	0.5565	0.7117	0.5523	0.5504	0.7286	0.3542	0.4766	0.6891	0.5694	0.6236	0.7868	0.7431	0.7643	0.3542	0.8553	0.5010	1.0	0.2394	0.3864
0.3286	16.0	5824	0.8830	0.7369	0.7873	0.7387	0.7307	0.8258	0.7569	0.7899	0.825	0.9167	0.8684	0.5517	1.0	0.7111	0.8681	0.5197	0.6502	0.8659	0.5	0.6339
0.441	17.0	6188	1.1930	0.6694	0.7584	0.6686	0.6672	0.9344	0.3958	0.5561	0.9570	0.6181	0.7511	0.5187	0.9653	0.6748	0.5781	0.7303	0.6453	0.8036	0.6338	0.7087
0.4224	18.0	6552	0.5639	0.8278	0.8410	0.8293	0.8258	0.9320	0.6667	0.7773	0.8274	0.9653	0.8910	0.7553	0.9861	0.8554	0.7465	0.6974	0.7211	0.944	0.8310	0.8839
0.3715	19.0	6916	0.9846	0.7025	0.7610	0.7047	0.7044	0.8632	0.5694	0.6862	0.9307	0.6528	0.7673	0.5182	0.9861	0.6794	0.7207	0.5263	0.6084	0.7724	0.7887	0.7805
0.4228	20.0	7280	0.9673	0.7452	0.7956	0.7449	0.7434	0.9125	0.5069	0.6518	0.9583	0.6389	0.7667	0.8382	0.7917	0.8143	0.5841	0.8224	0.6831	0.685	0.9648	0.8012
0.3596	21.0	7644	0.7574	0.7796	0.8143	0.7803	0.7759	0.8585	0.6319	0.728	0.9884	0.5903	0.7391	0.8221	0.9306	0.8730	0.7647	0.7697	0.7672	0.6376	0.9789	0.7722
0.3422	22.0	8008	2.4545	0.4931	0.7341	0.4988	0.4481	0.4324	0.7778	0.5558	0.975	0.2708	0.4239	0.9259	0.3472	0.5051	0.9412	0.1053	0.1893	0.3961	0.9930	0.5663
0.4047	23.0	8372	0.8565	0.7645	0.8034	0.7642	0.7735	0.6859	0.7431	0.7133	0.9118	0.8611	0.8857	0.8615	0.7778	0.8175	0.5577	0.7632	0.6444	1.0	0.6761	0.8067
0.3281	24.0	8736	1.9366	0.5923	0.7187	0.5887	0.5898	0.7324	0.3611	0.4837	0.7226	0.6875	0.7046	0.7794	0.7361	0.7571	0.3810	0.8421	0.5246	0.9783	0.3169	0.4787
0.4524	25.0	9100	1.9752	0.6460	0.7253	0.6464	0.6129	1.0	0.1667	0.2857	0.775	0.6458	0.7045	0.6667	0.8472	0.7462	0.6623	0.6711	0.6667	0.5224	0.9014	0.6615
0.2905	26.0	9464	0.9349	0.7645	0.7864	0.7653	0.7682	0.7872	0.7708	0.7789	0.8738	0.625	0.7287	0.8571	0.75	0.8	0.5657	0.7368	0.64	0.8481	0.9437	0.8933
0.3872	27.0	9828	1.3411	0.6915	0.7712	0.6931	0.6904	0.6748	0.7639	0.7166	0.9538	0.4306	0.5933	0.9065	0.6736	0.7729	0.8174	0.6184	0.7041	0.5036	0.9789	0.6651
0.2387	28.0	10192	1.0073	0.7672	0.8063	0.7670	0.7638	0.9167	0.6111	0.7333	0.8609	0.9028	0.8814	0.6372	1.0	0.7784	0.6848	0.7434	0.7129	0.9318	0.5775	0.7130
0.2321	29.0	10556	0.6733	0.8085	0.8290	0.8107	0.8001	0.9615	0.5208	0.6757	0.6961	0.9861	0.8161	0.8526	0.9236	0.8867	0.7615	0.6513	0.7021	0.8734	0.9718	0.92
0.2687	30.0	10920	1.1098	0.7603	0.8017	0.7601	0.7616	0.8198	0.6319	0.7137	0.9765	0.5764	0.7249	0.7037	0.9236	0.7988	0.5913	0.8092	0.6833	0.9173	0.8592	0.8873
0.2047	31.0	11284	0.5737	0.8333	0.8484	0.8353	0.8309	0.7382	0.9792	0.8418	0.9545	0.875	0.9130	0.8509	0.6736	0.7519	0.9211	0.6908	0.7895	0.7771	0.9577	0.8580
0.3821	32.0	11648	0.6089	0.7741	0.8123	0.7745	0.7798	0.9438	0.5833	0.7210	0.7578	0.8472	0.8	0.8862	0.7569	0.8165	0.5519	0.7697	0.6429	0.9220	0.9155	0.9187
0.3214	33.0	12012	1.1225	0.7879	0.8225	0.7884	0.7823	0.8433	0.7847	0.8129	1.0	0.4722	0.6415	0.8118	0.9583	0.8790	0.6041	0.7829	0.6819	0.8535	0.9437	0.8963
0.3972	34.0	12376	0.4285	0.8815	0.8951	0.8855	0.8747	0.7877	0.9792	0.8731	0.8812	0.9792	0.9276	0.8494	0.9792	0.9097	0.9647	0.5395	0.6920	0.9926	0.9507	0.9712
0.1635	35.0	12740	0.9206	0.7686	0.8260	0.7678	0.7673	0.975	0.5417	0.6964	0.9556	0.8958	0.9247	0.9011	0.5694	0.6979	0.5726	0.8816	0.6943	0.7258	0.9507	0.8232
0.2116	36.0	13104	2.1126	0.5868	0.6752	0.5881	0.5671	0.8667	0.4514	0.5936	0.5756	0.8194	0.6762	0.8333	0.2431	0.3763	0.6457	0.5395	0.5878	0.4549	0.8873	0.6014
0.2941	37.0	13468	0.8622	0.7741	0.8090	0.7754	0.7795	0.9145	0.7431	0.8199	0.5939	0.9444	0.7292	0.8870	0.7083	0.7876	0.7214	0.6645	0.6918	0.928	0.8169	0.8689
0.1385	38.0	13832	1.1555	0.7837	0.8127	0.7849	0.7840	0.9495	0.6528	0.7737	0.9167	0.6875	0.7857	0.8435	0.8611	0.8522	0.6727	0.7303	0.7003	0.6812	0.9930	0.8080
0.1781	39.0	14196	0.5697	0.8182	0.8548	0.8182	0.8208	0.9524	0.5556	0.7018	0.9084	0.8264	0.8655	0.8639	0.8819	0.8729	0.5909	0.8553	0.6989	0.9583	0.9718	0.9650
0.2708	40.0	14560	0.3549	0.8871	0.8911	0.8885	0.8879	0.8397	0.9097	0.8733	0.9478	0.8819	0.9137	0.8424	0.9653	0.8997	0.8406	0.7632	0.8	0.9850	0.9225	0.9527
0.2474	41.0	14924	1.4169	0.6997	0.7712	0.6990	0.7026	0.8723	0.5694	0.6891	0.9451	0.5972	0.7319	0.8842	0.5833	0.7029	0.5274	0.8224	0.6427	0.6268	0.9225	0.7464
0.3544	42.0	15288	1.5741	0.7094	0.7636	0.7140	0.6947	0.7890	0.5972	0.6798	0.8803	0.7153	0.7893	0.6278	0.9722	0.7629	0.9138	0.3487	0.5048	0.6073	0.9366	0.7368
0.3016	43.0	15652	3.1537	0.4931	0.7287	0.4873	0.4791	0.6304	0.2014	0.3053	0.7710	0.7014	0.7345	0.9298	0.3681	0.5274	0.3124	0.9474	0.4698	1.0	0.2183	0.3584
0.2507	44.0	16016	0.7001	0.8072	0.8686	0.8066	0.8156	1.0	0.5486	0.7085	0.9338	0.8819	0.9071	0.8824	0.8333	0.8571	0.5425	0.8816	0.6717	0.9844	0.8873	0.9333
0.3607	45.0	16380	0.9100	0.8017	0.8393	0.8043	0.7983	0.9540	0.5764	0.7186	0.6111	0.9931	0.7566	0.8701	0.9306	0.8993	0.8571	0.5921	0.7004	0.9041	0.9296	0.9167
0.2023	46.0	16744	1.1856	0.7121	0.7901	0.7086	0.6832	0.8101	0.8889	0.8477	0.9924	0.9028	0.9455	0.6062	0.6736	0.6382	0.5418	0.8947	0.6749	1.0	0.1831	0.3095
0.2303	47.0	17108	0.5505	0.8388	0.8703	0.8387	0.8466	0.9573	0.7778	0.8582	0.9328	0.8681	0.8993	0.8852	0.75	0.8120	0.6129	0.875	0.7209	0.9632	0.9225	0.9424
0.2238	48.0	17472	1.6496	0.5950	0.7650	0.5905	0.6007	0.7207	0.5556	0.6275	0.8889	0.6111	0.7243	0.8431	0.5972	0.6992	0.3723	0.9211	0.5303	1.0	0.2676	0.4222
0.2632	49.0	17836	1.6022	0.7507	0.8091	0.7501	0.7150	1.0	0.1806	0.3059	0.8072	0.9306	0.8645	0.7667	0.9583	0.8519	0.5753	0.8289	0.6792	0.8963	0.8521	0.8736
0.1897	50.0	18200	1.0318	0.7824	0.8140	0.7825	0.7778	0.9375	0.5208	0.6696	0.7416	0.9167	0.8199	0.75	0.9792	0.8494	0.6686	0.7566	0.7099	0.9722	0.7394	0.84
0.3303	51.0	18564	0.7386	0.7865	0.8104	0.7865	0.7834	0.8582	0.8403	0.8491	0.8046	0.9722	0.8805	0.7625	0.8472	0.8026	0.6395	0.7237	0.6790	0.9873	0.5493	0.7059
0.3398	52.0	18928	0.5642	0.8154	0.8351	0.8157	0.8154	0.8881	0.8264	0.8561	0.9580	0.7917	0.8669	0.8785	0.6528	0.7490	0.7456	0.8289	0.7850	0.7056	0.9789	0.8201
0.3094	53.0	19292	0.9977	0.7562	0.8091	0.7556	0.7492	0.7530	0.8681	0.8065	1.0	0.4097	0.5813	0.8644	0.7083	0.7786	0.5702	0.8553	0.6842	0.8581	0.9366	0.8956
0.3199	54.0	19656	0.3904	0.8595	0.8734	0.8600	0.8621	0.9433	0.9236	0.9333	1.0	0.8264	0.9049	0.8537	0.7292	0.7865	0.6957	0.8421	0.7619	0.8742	0.9789	0.9236
0.539	55.0	20020	0.3384	0.8939	0.8983	0.8949	0.8958	0.9545	0.875	0.9130	0.9858	0.9653	0.9754	0.8063	0.8958	0.8487	0.8158	0.8158	0.8158	0.9291	0.9225	0.9258
0.1798	56.0	20384	0.5997	0.8017	0.8244	0.8024	0.8031	0.9077	0.8194	0.8613	0.9706	0.6875	0.8049	0.8359	0.7431	0.7868	0.68	0.7829	0.7278	0.7277	0.9789	0.8348
0.2783	57.0	20748	0.7346	0.8567	0.8622	0.8609	0.8497	0.7624	0.9583	0.8492	0.9184	0.9375	0.9278	0.8313	0.9236	0.875	0.8667	0.5132	0.6446	0.9324	0.9718	0.9517
0.2132	58.0	21112	1.3325	0.7645	0.8246	0.7652	0.7498	0.9717	0.7153	0.824	0.715	0.9931	0.8314	0.9636	0.3681	0.5327	0.8647	0.7566	0.8070	0.6078	0.9930	0.7540
0.1655	59.0	21476	2.4867	0.7011	0.7585	0.7015	0.6968	0.7857	0.6875	0.7333	0.9833	0.4097	0.5784	0.8527	0.7639	0.8059	0.5556	0.7237	0.6286	0.6150	0.9225	0.7380
0.3627	60.0	21840	1.6926	0.7011	0.7439	0.6996	0.6998	0.6892	0.7083	0.6986	0.7188	0.7986	0.7566	0.8485	0.7778	0.8116	0.5367	0.7697	0.6324	0.9265	0.4437	0.6
0.2631	61.0	22204	1.3416	0.7094	0.7883	0.7087	0.7048	0.925	0.5139	0.6607	0.9855	0.4722	0.6385	0.8254	0.7222	0.7704	0.5246	0.8421	0.6465	0.6812	0.9930	0.8080
0.2012	62.0	22568	0.6623	0.8457	0.8531	0.8475	0.8449	0.7797	0.9583	0.8598	0.9658	0.7847	0.8659	0.8540	0.8125	0.8327	0.8258	0.7171	0.7676	0.8405	0.9648	0.8984
0.2564	63.0	22932	1.3535	0.7204	0.7862	0.7195	0.7135	0.8529	0.8056	0.8286	0.9841	0.4306	0.5990	0.8602	0.5556	0.6751	0.5485	0.8553	0.6684	0.6853	0.9507	0.7965
0.1741	64.0	23296	0.5313	0.8485	0.8566	0.8511	0.8473	0.8980	0.9167	0.9072	0.8393	0.9792	0.9038	0.7371	0.8958	0.8088	0.8087	0.6118	0.6966	1.0	0.8521	0.9202
0.3129	65.0	23660	1.4864	0.6488	0.7434	0.6484	0.6380	0.9	0.25	0.3913	0.5612	0.9236	0.6982	0.8058	0.7778	0.7915	0.4615	0.6711	0.5469	0.9888	0.6197	0.7619
0.2494	66.0	24024	1.5495	0.7287	0.8151	0.7278	0.7267	0.9143	0.4444	0.5981	1.0	0.4931	0.6605	0.8333	0.9028	0.8667	0.4797	0.8553	0.6147	0.8481	0.9437	0.8933
0.2422	67.0	24388	1.2390	0.7686	0.7879	0.7718	0.7642	0.8129	0.7847	0.7986	0.8235	0.6806	0.7452	0.6355	0.8958	0.7435	0.8710	0.5329	0.6612	0.7965	0.9648	0.8726
0.1332	68.0	24752	1.7990	0.7410	0.8158	0.7404	0.7342	1.0	0.3333	0.5	0.8235	0.7778	0.8	0.7829	0.9514	0.8589	0.5061	0.8224	0.6266	0.9667	0.8169	0.8855
0.2093	69.0	25116	0.5063	0.8540	0.8663	0.8569	0.8529	0.7222	0.9931	0.8363	0.9444	0.9444	0.9444	0.8456	0.875	0.8601	0.8273	0.5987	0.6947	0.992	0.8732	0.9288
0.3587	70.0	25480	0.9657	0.7879	0.8288	0.7878	0.7808	1.0	0.4583	0.6286	0.8836	0.8958	0.8897	0.8618	0.7361	0.7940	0.6143	0.8487	0.7127	0.7845	1.0	0.8793
0.2032	71.0	25844	0.9718	0.7590	0.8034	0.7588	0.7572	0.9091	0.625	0.7407	0.9884	0.5903	0.7391	0.8	0.75	0.7742	0.63	0.8289	0.7159	0.6893	1.0	0.8161
0.2602	72.0	26208	1.3336	0.7052	0.7281	0.7065	0.7031	0.8242	0.5208	0.6383	0.5919	0.9167	0.7193	0.7721	0.7292	0.75	0.6525	0.6053	0.6280	0.8	0.7606	0.7798
0.2728	73.0	26572	0.7606	0.8058	0.8219	0.8061	0.8084	0.8248	0.7847	0.8043	0.9434	0.6944	0.8	0.7945	0.8056	0.8	0.6543	0.8092	0.7235	0.8926	0.9366	0.9141
0.1652	74.0	26936	0.8673	0.7906	0.8111	0.7909	0.7869	0.9224	0.7431	0.8231	0.8926	0.9236	0.9078	0.8556	0.5347	0.6581	0.6816	0.8026	0.7372	0.7031	0.9507	0.8084
0.2047	75.0	27300	1.5109	0.7218	0.7986	0.7243	0.7181	1.0	0.4653	0.6351	0.9912	0.7847	0.8760	0.5743	0.9931	0.7277	0.8163	0.5263	0.64	0.6111	0.8521	0.7118
0.1685	76.0	27664	0.9601	0.8030	0.8222	0.8043	0.8044	0.8846	0.7986	0.8394	0.9596	0.6597	0.7819	0.6757	0.8681	0.7599	0.7070	0.7303	0.7184	0.8839	0.9648	0.9226
0.2161	77.0	28028	0.8242	0.7686	0.8093	0.7676	0.7768	0.8195	0.7569	0.7870	0.9380	0.8403	0.8864	0.8165	0.6181	0.7036	0.5485	0.8553	0.6684	0.9237	0.7676	0.8385
0.1214	78.0	28392	1.5758	0.7066	0.7803	0.7059	0.7097	0.7946	0.6181	0.6953	1.0	0.4792	0.6479	0.5917	0.8958	0.7127	0.5509	0.7829	0.6467	0.9640	0.7535	0.8458
0.1458	79.0	28756	1.7201	0.6667	0.8239	0.6641	0.6700	0.9756	0.2778	0.4324	0.9615	0.6944	0.8065	0.7857	0.9167	0.8462	0.3964	0.8684	0.5443	1.0	0.5634	0.7207
0.3304	80.0	29120	1.1946	0.7824	0.8309	0.7823	0.7837	0.9524	0.5556	0.7018	0.9798	0.6736	0.7984	0.8378	0.8611	0.8493	0.5714	0.8421	0.6809	0.8129	0.9789	0.8882
0.1858	81.0	29484	2.7812	0.6460	0.7563	0.6460	0.6443	0.9062	0.4028	0.5577	0.9205	0.5625	0.6983	0.9070	0.5417	0.6783	0.5635	0.7303	0.6361	0.4845	0.9930	0.6513
0.1235	82.0	29848	1.0269	0.7865	0.8142	0.7862	0.7930	0.8571	0.7083	0.7757	0.8333	0.8681	0.8503	0.8346	0.7361	0.7823	0.5877	0.8158	0.6832	0.9580	0.8028	0.8736
0.134	83.0	30212	1.6236	0.6818	0.8405	0.6797	0.7026	0.975	0.5417	0.6964	1.0	0.4514	0.6220	0.8692	0.6458	0.7410	0.3983	0.9145	0.5549	0.96	0.8451	0.8989
0.2552	84.0	30576	1.6298	0.7548	0.7811	0.7574	0.7412	0.9841	0.4306	0.5990	0.6875	0.8403	0.7562	0.8354	0.9514	0.8896	0.6617	0.5789	0.6175	0.7368	0.9859	0.8434
0.1101	85.0	30940	1.9185	0.6956	0.8079	0.6932	0.7031	0.9375	0.4167	0.5769	0.8519	0.7986	0.8244	0.8414	0.8472	0.8443	0.4342	0.8684	0.5789	0.9744	0.5352	0.6909
0.1947	86.0	31304	1.8975	0.7355	0.7956	0.7393	0.7341	0.8607	0.7292	0.7895	0.8151	0.8264	0.8207	0.8033	0.6806	0.7368	0.9589	0.4605	0.6222	0.5399	1.0	0.7012
0.1428	87.0	31668	0.6888	0.7796	0.8120	0.7798	0.7845	0.7901	0.8889	0.8366	0.9380	0.8403	0.8864	0.8105	0.5347	0.6444	0.5535	0.7829	0.6485	0.968	0.8521	0.9064
0.2229	88.0	32032	2.4581	0.5744	0.8051	0.5697	0.5661	0.9762	0.2847	0.4409	0.8284	0.7708	0.7986	0.8860	0.7014	0.7829	0.3350	0.9013	0.4884	1.0	0.1901	0.3195
0.1858	89.0	32396	2.8383	0.6804	0.7342	0.6809	0.6517	1.0	0.2153	0.3543	0.6294	0.7431	0.6815	0.7468	0.8194	0.7815	0.5889	0.6974	0.6386	0.7059	0.9296	0.8024
0.1742	90.0	32760	1.0500	0.7879	0.8373	0.7878	0.7895	0.9759	0.5625	0.7137	0.9804	0.6944	0.8130	0.8662	0.8542	0.8601	0.5818	0.8421	0.6882	0.7821	0.9859	0.8723
0.2212	91.0	33124	0.9733	0.7906	0.8096	0.7951	0.7814	0.6823	0.9097	0.7798	0.7240	0.9653	0.8274	0.8582	0.7986	0.8273	0.8289	0.4145	0.5526	0.9545	0.8873	0.9197
0.276	92.0	33488	1.9019	0.7507	0.7940	0.7512	0.7318	1.0	0.3194	0.4842	0.8671	0.8611	0.8641	0.7020	0.9653	0.8129	0.6257	0.7368	0.6767	0.775	0.8732	0.8212
0.2309	93.0	33852	2.3563	0.6309	0.7691	0.6332	0.6273	0.7966	0.6528	0.7176	0.9167	0.7639	0.8333	0.8974	0.2431	0.3825	0.8387	0.5132	0.6367	0.3961	0.9930	0.5663
0.2288	94.0	34216	1.2082	0.7397	0.7988	0.7402	0.7399	0.6168	0.9167	0.7374	1.0	0.4514	0.6220	0.8028	0.7917	0.7972	0.5829	0.7171	0.6431	0.9915	0.8239	0.9
0.2247	95.0	34580	1.0517	0.7686	0.7968	0.7701	0.7677	0.8830	0.5764	0.6975	0.6745	0.9931	0.8034	0.8038	0.8819	0.8411	0.6316	0.6316	0.6316	0.9909	0.7676	0.8651
0.1909	96.0	34944	3.2917	0.5744	0.7583	0.5718	0.5322	0.8404	0.5486	0.6639	0.9818	0.375	0.5427	1.0	0.1042	0.1887	0.4331	0.8947	0.5837	0.5363	0.9366	0.6821
0.2927	97.0	35308	4.0534	0.6129	0.7066	0.6129	0.5919	0.9091	0.2083	0.3390	0.8545	0.6528	0.7402	0.7476	0.5347	0.6235	0.5271	0.7039	0.6028	0.4946	0.9648	0.6539
0.1792	98.0	35672	1.4354	0.7176	0.7802	0.7177	0.7066	0.9808	0.3542	0.5204	0.6558	0.9792	0.7855	0.7349	0.8472	0.7871	0.5684	0.7105	0.6316	0.9612	0.6972	0.8082
0.2467	99.0	36036	1.2316	0.7493	0.7880	0.7493	0.7279	0.7829	0.9514	0.8589	0.8424	0.9653	0.8997	0.6294	0.8611	0.7273	0.6853	0.6447	0.6644	1.0	0.3239	0.4894
0.2984	100.0	36400	2.6716	0.6708	0.8169	0.6696	0.6597	1.0	0.2569	0.4088	0.9839	0.4236	0.5922	0.8633	0.8333	0.8481	0.4050	0.8553	0.5497	0.8323	0.9789	0.8997

Framework versions

Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0

Task: Image Classification
Library: transformers
Type: mobilenet_v2
Created: Mar 6, 2025
Updated: Mar 6, 2025