mobilenetv2-typecoffee-3

Master-Rapha7/mobilenetv2-typecoffee-3

mobilenetv2-typecoffee-3 is a image classification model from Master-Rapha7. Use it when you need a label for an image. It is set up for transformers. The card lists the license as other.

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At a glance

Task: Image Classification
Library: transformers
License: other
Model type: mobilenet_v2
Access: Public
Created: Mar 7, 2025
Updated: Mar 7, 2025
SHA: 96bfbc61

Base models

google/mobilenet_v2_1.0_224

Model card

From the Hugging Face model README

mobilenetv2-typecoffee-3

This model is a fine-tuned version of google/mobilenet_v2_1.0_224 on the Master-Rapha7/TypeCoffee_64x64 dataset. It achieves the following results on the evaluation set:

Loss: 0.4428
Accuracy: 0.8733
Precision: 0.8809
Recall: 0.8742
F1: 0.8751
Precision Durariadorio 64x64: 0.9512
Recall Durariadorio 64x64: 0.8125
F1 Durariadorio 64x64: 0.8764
Precision Mole 64x64: 0.9357
Recall Mole 64x64: 0.9097
F1 Mole 64x64: 0.9225
Precision Quebrado 64x64: 0.8059
Recall Quebrado 64x64: 0.9514
F1 Quebrado 64x64: 0.8726
Precision Riadorio 64x64: 0.7707
Recall Riadorio 64x64: 0.7961
F1 Riadorio 64x64: 0.7832
Precision Riofechado 64x64: 0.9412
Recall Riofechado 64x64: 0.9014
F1 Riofechado 64x64: 0.9209

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 64x64	Recall Durariadorio 64x64	F1 Durariadorio 64x64	Precision Mole 64x64	Recall Mole 64x64	F1 Mole 64x64	Precision Quebrado 64x64	Recall Quebrado 64x64	F1 Quebrado 64x64	Precision Riadorio 64x64	Recall Riadorio 64x64	F1 Riadorio 64x64	Precision Riofechado 64x64	Recall Riofechado 64x64	F1 Riofechado 64x64
1.8339	1.0	364	1.3719	0.3815	0.5231	0.3834	0.3480	0.3265	0.2222	0.2645	0.2779	0.8472	0.4185	0.75	0.6042	0.6692	0.3860	0.1447	0.2105	0.875	0.0986	0.1772
0.8841	2.0	728	1.2402	0.4959	0.6099	0.4958	0.4690	0.4345	0.4375	0.4360	0.75	0.25	0.375	0.9231	0.25	0.3934	0.5254	0.6118	0.5653	0.4164	0.9296	0.5752
0.9358	3.0	1092	0.5863	0.7975	0.8044	0.8001	0.7957	0.6630	0.8472	0.7439	0.8403	0.6944	0.7605	0.8503	0.9861	0.9132	0.7417	0.5855	0.6544	0.9265	0.8873	0.9065
0.5744	4.0	1456	0.5526	0.8058	0.8012	0.8085	0.8009	0.784	0.6806	0.7286	0.8	0.8056	0.8028	0.8606	0.9861	0.9191	0.736	0.6053	0.6643	0.8253	0.9648	0.8896
3.8423	5.0	1820	2.2945	0.4545	0.5793	0.4494	0.4180	0.4943	0.2986	0.3723	0.4118	0.6806	0.5131	1.0	0.2361	0.3820	0.3994	0.8487	0.5432	0.5909	0.1831	0.2796
0.9289	6.0	2184	1.0301	0.6736	0.7565	0.6724	0.6429	1.0	0.1806	0.3059	0.8067	0.6667	0.7300	0.6606	1.0	0.7956	0.5106	0.7895	0.6202	0.8047	0.7254	0.7630
1.4282	7.0	2548	2.2074	0.4573	0.6324	0.4593	0.4141	0.3813	0.7917	0.5147	0.3992	0.7014	0.5088	1.0	0.0625	0.1176	0.7925	0.2763	0.4098	0.5893	0.4648	0.5197
0.8611	8.0	2912	0.7746	0.7879	0.8003	0.7895	0.7744	0.8732	0.4306	0.5767	0.8759	0.8819	0.8789	0.8218	0.9931	0.8994	0.7222	0.6842	0.7027	0.7083	0.9577	0.8144
0.9293	9.0	3276	1.0409	0.7107	0.7522	0.7112	0.7095	0.8068	0.4931	0.6121	0.9545	0.7292	0.8268	0.5975	1.0	0.7481	0.5952	0.6579	0.625	0.8067	0.6761	0.7356
0.1113	10.0	3640	1.3318	0.6474	0.7588	0.6525	0.6272	0.9048	0.3958	0.5507	0.4537	0.9861	0.6214	0.8846	0.6389	0.7419	0.8542	0.2697	0.41	0.6970	0.9718	0.8118
0.5141	11.0	4004	1.3893	0.6653	0.7754	0.6668	0.6485	0.4462	0.9792	0.6130	0.9667	0.2014	0.3333	0.8898	0.7847	0.8339	0.7107	0.5658	0.6300	0.8636	0.8028	0.8321
0.2037	12.0	4368	1.9170	0.6405	0.7596	0.6422	0.6220	0.9032	0.1944	0.32	0.9121	0.5764	0.7064	0.7901	0.8889	0.8366	0.7699	0.5724	0.6566	0.4225	0.9789	0.5902
0.7657	13.0	4732	1.2913	0.7094	0.7793	0.7150	0.6832	0.5721	0.8819	0.6940	0.9737	0.5139	0.6727	0.7989	0.9653	0.8742	0.9091	0.2632	0.4082	0.6429	0.9507	0.7670
1.7904	14.0	5096	1.5750	0.5771	0.7363	0.5736	0.5883	0.6311	0.5347	0.5789	1.0	0.3403	0.5078	0.8972	0.6667	0.7649	0.3607	0.8684	0.5097	0.7927	0.4577	0.5804
1.8144	15.0	5460	0.8439	0.7397	0.7902	0.7404	0.7316	0.5870	0.9375	0.7219	0.7258	0.9375	0.8182	0.8605	0.7708	0.8132	0.7931	0.6053	0.6866	0.9846	0.4507	0.6184
0.787	16.0	5824	0.7087	0.7851	0.7908	0.7871	0.7813	0.8349	0.6319	0.7194	0.7862	0.8681	0.8251	0.8092	0.8542	0.8311	0.7967	0.6447	0.7127	0.7268	0.9366	0.8185
1.6885	17.0	6188	1.1906	0.6667	0.8084	0.6644	0.6495	1.0	0.2014	0.3353	1.0	0.6111	0.7586	0.6825	1.0	0.8113	0.4396	0.8618	0.5822	0.92	0.6479	0.7603
0.7317	18.0	6552	0.9377	0.7342	0.7888	0.7337	0.7421	0.7063	0.7847	0.7434	0.9036	0.5208	0.6608	0.8643	0.8403	0.8521	0.5064	0.7763	0.6130	0.9636	0.7465	0.8413
1.1095	19.0	6916	1.2331	0.7548	0.7869	0.7556	0.7375	0.9091	0.3472	0.5025	0.8926	0.75	0.8151	0.8114	0.9861	0.8903	0.6550	0.7368	0.6935	0.6667	0.9577	0.7861
0.3625	20.0	7280	0.9931	0.7410	0.7846	0.7424	0.7329	0.6329	0.9097	0.7464	0.9853	0.4653	0.6321	0.8673	0.6806	0.7626	0.7357	0.6776	0.7055	0.7020	0.9789	0.8176
0.9243	21.0	7644	1.7097	0.6309	0.7730	0.6292	0.5856	0.9032	0.1944	0.32	1.0	0.2222	0.3636	0.6792	1.0	0.8090	0.4197	0.8421	0.5602	0.8630	0.8873	0.875
1.4692	22.0	8008	3.5682	0.4518	0.6827	0.4515	0.4158	0.8696	0.1389	0.2395	0.8615	0.3889	0.5359	0.76	0.1319	0.2249	0.62	0.6118	0.6159	0.3024	0.9859	0.4628
0.11	23.0	8372	1.5003	0.6983	0.7763	0.6972	0.6926	0.8889	0.2778	0.4233	0.7656	0.6806	0.7206	0.8733	0.9097	0.8912	0.4496	0.8224	0.5814	0.904	0.7958	0.8464
0.1686	24.0	8736	0.7475	0.7837	0.8280	0.7834	0.7885	0.7288	0.8958	0.8037	1.0	0.5903	0.7424	0.8864	0.8125	0.8478	0.5905	0.8158	0.6851	0.9344	0.8028	0.8636
2.2972	25.0	9100	2.4067	0.6433	0.7428	0.6423	0.5978	0.9375	0.1042	0.1875	0.8514	0.4375	0.5780	0.7833	0.9792	0.8704	0.44	0.7961	0.5667	0.7017	0.8944	0.7864
0.7441	26.0	9464	1.5594	0.6736	0.8149	0.6714	0.6613	0.7969	0.7083	0.75	1.0	0.1597	0.2754	0.8731	0.8125	0.8417	0.4134	0.8947	0.5655	0.9911	0.7817	0.8740
0.2518	27.0	9828	1.4697	0.6956	0.7674	0.6954	0.6803	1.0	0.2778	0.4348	0.7642	0.6528	0.7041	0.8623	0.8264	0.8440	0.4979	0.7763	0.6067	0.7128	0.9437	0.8121
0.8784	28.0	10192	1.6700	0.6391	0.7410	0.6380	0.6292	0.95	0.2639	0.4130	0.7048	0.5139	0.5944	0.7065	0.9861	0.8232	0.4116	0.75	0.5315	0.9320	0.6761	0.7837
1.1915	29.0	10556	0.9770	0.7975	0.8223	0.7984	0.7919	0.9351	0.5	0.6516	0.9058	0.8681	0.8865	0.8759	0.8819	0.8789	0.7030	0.7632	0.7319	0.6915	0.9789	0.8105
0.2653	30.0	10920	0.6579	0.8499	0.8601	0.8510	0.8497	0.9550	0.7361	0.8314	0.8759	0.8819	0.8789	0.7688	0.9931	0.8667	0.7877	0.7566	0.7718	0.9130	0.8873	0.9
0.6757	31.0	11284	1.1712	0.7204	0.7686	0.7212	0.7020	0.6450	0.7569	0.6965	1.0	0.2986	0.4599	0.8759	0.8819	0.8789	0.5815	0.7039	0.6369	0.7405	0.9648	0.8379
0.1863	32.0	11648	0.7389	0.7824	0.8141	0.7817	0.7839	0.7355	0.7917	0.7625	0.8947	0.8264	0.8592	0.825	0.9167	0.8684	0.6154	0.7895	0.6916	1.0	0.5845	0.7378
4.8154	33.0	12012	2.8633	0.6143	0.7092	0.6140	0.5631	0.7808	0.3958	0.5253	1.0	0.1111	0.2	0.6636	0.9861	0.7933	0.4756	0.7039	0.5676	0.6263	0.8732	0.7294
0.3842	34.0	12376	0.5939	0.8430	0.8488	0.8459	0.8397	0.9084	0.8264	0.8655	0.7727	0.9444	0.85	0.8070	0.9583	0.8762	0.8411	0.5921	0.6950	0.9149	0.9085	0.9117
0.9703	35.0	12740	2.1655	0.5317	0.7189	0.5326	0.5165	0.3357	0.9722	0.4991	0.7703	0.7917	0.7808	0.8649	0.2222	0.3536	0.7867	0.3882	0.5198	0.8367	0.2887	0.4293
4.9934	36.0	13104	1.3484	0.6860	0.8082	0.6833	0.7067	0.8390	0.6875	0.7557	0.9434	0.6944	0.8	0.8632	0.5694	0.6862	0.4198	0.8947	0.5714	0.9759	0.5704	0.72
0.1061	37.0	13468	1.9914	0.6047	0.7035	0.6071	0.5994	0.7606	0.375	0.5023	0.4167	0.9722	0.5833	0.9	0.4375	0.5888	0.6634	0.4408	0.5296	0.7770	0.8099	0.7931
1.1014	38.0	13832	0.7707	0.8278	0.8347	0.8294	0.8284	0.7432	0.7639	0.7534	0.9825	0.7778	0.8682	0.8808	0.9236	0.9017	0.7415	0.7171	0.7291	0.8253	0.9648	0.8896
0.4693	39.0	14196	0.8032	0.7796	0.8153	0.7806	0.7751	0.9595	0.4931	0.6514	0.8897	0.8403	0.8643	0.8759	0.8333	0.8541	0.7107	0.7434	0.7267	0.6409	0.9930	0.7790
0.03	40.0	14560	2.2705	0.6212	0.7527	0.6183	0.6087	0.8983	0.3681	0.5222	0.9821	0.3819	0.55	0.6278	0.9722	0.7629	0.4348	0.8553	0.5765	0.8202	0.5141	0.6320
1.0635	41.0	14924	0.8656	0.7700	0.8146	0.7694	0.7701	0.8731	0.8125	0.8417	0.9610	0.5139	0.6697	0.8917	0.7431	0.8106	0.5822	0.8618	0.6950	0.7647	0.9155	0.8333
1.7808	42.0	15288	0.4428	0.8733	0.8809	0.8742	0.8751	0.9512	0.8125	0.8764	0.9357	0.9097	0.9225	0.8059	0.9514	0.8726	0.7707	0.7961	0.7832	0.9412	0.9014	0.9209
1.2959	43.0	15652	2.8245	0.5386	0.6741	0.5340	0.5194	0.4741	0.3819	0.4231	0.7273	0.8333	0.7767	0.8627	0.3056	0.4513	0.3796	0.8816	0.5307	0.9268	0.2676	0.4153
1.0648	44.0	16016	2.2485	0.6419	0.7630	0.6411	0.6168	0.9714	0.2361	0.3799	0.9667	0.4028	0.5686	0.8182	0.8125	0.8153	0.4706	0.7895	0.5897	0.5880	0.9648	0.7307
1.6683	45.0	16380	1.3286	0.7576	0.8073	0.7586	0.7488	0.9492	0.3889	0.5517	0.8794	0.8611	0.8702	0.8971	0.8472	0.8714	0.7365	0.7171	0.7267	0.5744	0.9789	0.7240
1.4987	46.0	16744	1.4056	0.6915	0.7938	0.6885	0.6877	0.7051	0.7639	0.7333	1.0	0.7292	0.8434	0.7958	0.7847	0.7902	0.4679	0.8618	0.6065	1.0	0.3028	0.4649
0.1716	47.0	17108	0.9573	0.7645	0.8122	0.7645	0.7661	0.9310	0.5625	0.7013	0.6438	0.9792	0.7769	0.8561	0.8264	0.8410	0.6298	0.75	0.6847	1.0	0.7042	0.8264
1.2902	48.0	17472	0.7744	0.8168	0.8580	0.8163	0.8245	0.8905	0.8472	0.8683	0.9901	0.6944	0.8163	0.8333	0.9028	0.8667	0.5936	0.8553	0.7008	0.9823	0.7817	0.8706
1.074	49.0	17836	5.5839	0.4105	0.6861	0.4055	0.3065	1.0	0.0486	0.0927	1.0	0.0556	0.1053	0.4780	0.9792	0.6424	0.3159	0.7961	0.4523	0.6364	0.1479	0.24
0.3016	50.0	18200	1.3900	0.7273	0.7944	0.7266	0.7389	0.7636	0.5833	0.6614	0.9457	0.6042	0.7373	0.8176	0.9028	0.8581	0.4727	0.7961	0.5931	0.9725	0.7465	0.8446
0.7923	51.0	18564	1.1039	0.7369	0.8038	0.7354	0.7273	1.0	0.5417	0.7027	0.7394	0.9653	0.8373	0.5917	0.8958	0.7127	0.7029	0.8092	0.7523	0.9851	0.4648	0.6316
0.079	52.0	18928	0.9145	0.7686	0.8069	0.7685	0.7712	0.8440	0.6389	0.7273	0.9804	0.6944	0.8130	0.8974	0.7292	0.8046	0.6188	0.8224	0.7062	0.6939	0.9577	0.8047
0.7387	53.0	19292	1.1572	0.7645	0.8182	0.7636	0.7750	0.7744	0.7153	0.7437	0.9896	0.6597	0.7917	0.8699	0.7431	0.8015	0.5347	0.8618	0.6599	0.9225	0.8380	0.8782
0.4333	54.0	19656	0.8459	0.7727	0.8256	0.7723	0.7789	0.9074	0.6806	0.7778	0.9681	0.6319	0.7647	0.8814	0.7222	0.7939	0.5458	0.8618	0.6684	0.8253	0.9648	0.8896
0.135	55.0	20020	0.9281	0.7534	0.8099	0.7532	0.7554	0.6813	0.7569	0.7171	1.0	0.4583	0.6286	0.8613	0.8194	0.8399	0.5439	0.8158	0.6526	0.9630	0.9155	0.9386
1.4615	56.0	20384	1.5940	0.7245	0.7685	0.7254	0.7098	0.6688	0.7153	0.6913	1.0	0.3333	0.5	0.8121	0.9306	0.8673	0.5544	0.7039	0.6203	0.8072	0.9437	0.8701
0.6157	57.0	20748	0.7882	0.7810	0.8076	0.7860	0.7739	0.5907	0.9722	0.7349	0.9580	0.7917	0.8669	0.8129	0.875	0.8428	0.7273	0.3684	0.4891	0.9493	0.9225	0.9357
0.2383	58.0	21112	1.1022	0.7466	0.8318	0.7452	0.7589	0.8739	0.6736	0.7608	0.9895	0.6528	0.7866	0.9022	0.5764	0.7034	0.4842	0.9079	0.6316	0.9091	0.9155	0.9123
0.0679	59.0	21476	1.0813	0.7851	0.8158	0.7855	0.7816	0.8411	0.625	0.7171	1.0	0.6111	0.7586	0.8408	0.9167	0.8771	0.7289	0.7961	0.7610	0.6683	0.9789	0.7943
2.4259	60.0	21840	2.6947	0.5909	0.7476	0.5867	0.5688	0.5792	0.8125	0.6763	0.9252	0.6875	0.7888	0.8261	0.3958	0.5352	0.4074	0.8684	0.5546	1.0	0.1690	0.2892
0.011	61.0	22204	0.8938	0.7603	0.8205	0.7599	0.7670	0.9647	0.5694	0.7162	0.9905	0.7222	0.8353	0.6753	0.9097	0.7751	0.5616	0.8092	0.6631	0.9106	0.7887	0.8453
0.4961	62.0	22568	1.7525	0.6915	0.8236	0.6889	0.7159	0.9681	0.6319	0.7647	0.9327	0.6736	0.7823	0.8739	0.6736	0.7608	0.4121	0.8947	0.5643	0.9310	0.5704	0.7074
0.0413	63.0	22932	0.7127	0.8264	0.8341	0.8281	0.8268	0.7673	0.8472	0.8053	0.9576	0.7847	0.8626	0.8797	0.8125	0.8448	0.7622	0.7171	0.7390	0.8035	0.9789	0.8825
1.2568	64.0	23296	3.7240	0.5055	0.7495	0.5005	0.5234	0.9649	0.3819	0.5473	0.8171	0.4653	0.5929	0.8056	0.4028	0.5370	0.3028	0.9145	0.4550	0.8571	0.3380	0.4848
0.3057	65.0	23660	1.0150	0.7479	0.7988	0.7474	0.7517	0.9109	0.6389	0.7510	0.6233	0.9306	0.7465	0.8409	0.7708	0.8043	0.6190	0.7697	0.6862	1.0	0.6268	0.7706
0.5195	66.0	24024	7.4947	0.3953	0.6566	0.3941	0.3246	0.5714	0.0278	0.0530	1.0	0.2014	0.3353	0.8947	0.1181	0.2086	0.5323	0.6513	0.5858	0.2845	0.9718	0.4402
0.0658	67.0	24388	0.5080	0.8320	0.8389	0.8330	0.8335	0.7892	0.9097	0.8452	0.9609	0.8542	0.9044	0.848	0.7361	0.7881	0.7188	0.7566	0.7372	0.8776	0.9085	0.8927
1.3597	68.0	24752	1.2537	0.7576	0.8153	0.7580	0.7413	1.0	0.3056	0.4681	0.6812	0.9792	0.8034	0.8506	0.9097	0.8792	0.5765	0.7434	0.6494	0.968	0.8521	0.9064
1.0185	69.0	25116	0.6910	0.8237	0.8381	0.8252	0.8283	0.7167	0.8958	0.7963	0.9535	0.8542	0.9011	0.8686	0.8264	0.8470	0.6839	0.6974	0.6906	0.968	0.8521	0.9064
1.5741	70.0	25480	4.0807	0.5826	0.7741	0.5802	0.5317	0.9583	0.1597	0.2738	0.9412	0.1111	0.1988	0.7791	0.9306	0.8481	0.3548	0.8684	0.5038	0.8369	0.8310	0.8339
0.0528	71.0	25844	0.9495	0.7645	0.8058	0.7642	0.7715	0.7257	0.8819	0.7962	0.9516	0.8194	0.8806	0.7879	0.7222	0.7536	0.5637	0.7566	0.6461	1.0	0.6408	0.7811
2.4556	72.0	26208	3.1869	0.5620	0.6926	0.5614	0.5393	0.7326	0.4375	0.5478	0.8246	0.6528	0.7287	1.0	0.1597	0.2754	0.4234	0.6908	0.525	0.4824	0.8662	0.6196
1.1308	73.0	26572	1.5193	0.7452	0.8115	0.7445	0.7366	0.8468	0.6528	0.7373	1.0	0.3611	0.5306	0.8562	0.9097	0.8822	0.5221	0.8553	0.6484	0.8323	0.9437	0.8845
0.1167	74.0	26936	1.2731	0.7094	0.7975	0.7074	0.7241	0.7478	0.5972	0.6641	0.9333	0.7778	0.8485	0.8538	0.7708	0.8102	0.4523	0.8421	0.5885	1.0	0.5493	0.7091
0.2747	75.0	27300	0.5770	0.8650	0.8689	0.8674	0.8623	0.9048	0.7917	0.8444	0.8718	0.9444	0.9067	0.8274	0.9653	0.8910	0.8957	0.6776	0.7715	0.8447	0.9577	0.8977
0.7676	76.0	27664	0.9433	0.8030	0.8342	0.8030	0.8042	0.9107	0.7083	0.7969	1.0	0.6458	0.7848	0.7611	0.9514	0.8457	0.6477	0.8224	0.7246	0.8514	0.8873	0.8690
0.8577	77.0	28028	1.2856	0.7521	0.7730	0.7578	0.7285	0.7016	0.9306	0.8	0.6290	0.9653	0.7616	0.8377	0.8958	0.8658	0.7059	0.2368	0.3547	0.9908	0.7606	0.8606
0.3569	78.0	28392	1.0886	0.7741	0.8440	0.7733	0.7850	0.9506	0.5347	0.6844	0.9826	0.7847	0.8726	0.8623	0.8264	0.8440	0.5077	0.8684	0.6408	0.9167	0.8521	0.8832
0.8389	79.0	28756	2.0285	0.6226	0.8028	0.6193	0.6470	0.9178	0.4653	0.6175	0.9368	0.6181	0.7448	0.8333	0.6944	0.7576	0.3566	0.875	0.5067	0.9692	0.4437	0.6087
1.0882	80.0	29120	1.5803	0.6970	0.7947	0.6953	0.6929	0.8652	0.5347	0.6609	0.9815	0.3681	0.5354	0.7010	0.9444	0.8047	0.4781	0.8618	0.6150	0.9478	0.7676	0.8482
0.6209	81.0	29484	1.2037	0.7796	0.8182	0.7853	0.7647	0.5755	0.9792	0.7249	0.8797	0.8125	0.8448	0.8693	0.9236	0.8956	0.8519	0.3026	0.4466	0.9149	0.9085	0.9117
0.1106	82.0	29848	0.6860	0.8168	0.8427	0.8176	0.8179	0.9775	0.6042	0.7468	0.7473	0.9444	0.8344	0.8551	0.8194	0.8369	0.6556	0.7763	0.7108	0.9781	0.9437	0.9606
0.0101	83.0	30212	6.1928	0.4904	0.6662	0.4894	0.4496	0.8571	0.0833	0.1519	0.9245	0.3403	0.4975	0.6543	0.3681	0.4711	0.5381	0.6974	0.6074	0.3570	0.9577	0.5201
0.9885	84.0	30576	1.1667	0.7479	0.7940	0.7517	0.7439	0.8571	0.625	0.7229	0.8193	0.9444	0.8774	0.8843	0.7431	0.8075	0.8554	0.4671	0.6043	0.5538	0.9789	0.7074
0.078	85.0	30940	0.7273	0.8168	0.8514	0.8164	0.8224	0.9905	0.7222	0.8353	0.8725	0.9028	0.8874	0.7590	0.875	0.8129	0.635	0.8355	0.7216	1.0	0.7465	0.8548
1.4247	86.0	31304	1.0005	0.7769	0.8310	0.7813	0.7733	0.5586	0.9931	0.715	0.9907	0.7361	0.8446	0.8611	0.8611	0.8611	0.8732	0.4079	0.5561	0.8716	0.9085	0.8897
0.3335	87.0	31668	1.4127	0.7617	0.7912	0.7621	0.7646	0.8947	0.5903	0.7113	0.8681	0.8681	0.8681	0.8621	0.6944	0.7692	0.5659	0.7632	0.6499	0.7651	0.8944	0.8247
0.0995	88.0	32032	1.0813	0.7658	0.8151	0.7675	0.7694	0.5738	0.9722	0.7216	0.9464	0.7361	0.8281	0.8377	0.8958	0.8658	0.7177	0.5855	0.6449	1.0	0.6479	0.7863
1.8463	89.0	32396	3.0008	0.5716	0.7663	0.5672	0.5426	0.9643	0.375	0.54	0.9359	0.5069	0.6577	0.5895	0.9375	0.7239	0.3871	0.8684	0.5355	0.9545	0.1479	0.2561
0.0148	90.0	32760	0.5001	0.8623	0.8811	0.8622	0.8675	0.9021	0.8958	0.8990	0.9597	0.8264	0.8881	0.8806	0.8194	0.8489	0.6786	0.875	0.7644	0.9845	0.8944	0.9373
0.2192	91.0	33124	0.6181	0.8595	0.8669	0.8606	0.8587	0.9630	0.7222	0.8254	0.9060	0.9375	0.9215	0.8639	0.8819	0.8729	0.7947	0.7895	0.7921	0.8070	0.9718	0.8818
2.2473	92.0	33488	0.6960	0.8306	0.8506	0.8301	0.8323	0.9344	0.7917	0.8571	0.9433	0.9236	0.9333	0.7333	0.9167	0.8148	0.7095	0.8355	0.7674	0.9327	0.6831	0.7886
0.0272	93.0	33852	1.6524	0.6584	0.7209	0.6600	0.6521	0.5794	0.8611	0.6927	0.6182	0.9444	0.7473	0.9012	0.5069	0.6489	0.5328	0.4803	0.5052	0.9730	0.5070	0.6667
0.0859	94.0	34216	1.7388	0.6529	0.8228	0.6502	0.6715	0.9375	0.625	0.75	0.9818	0.375	0.5427	0.8322	0.8264	0.8293	0.375	0.8684	0.5238	0.9875	0.5563	0.7117
0.6228	95.0	34580	1.6017	0.6570	0.8381	0.6528	0.6709	0.9252	0.6875	0.7888	1.0	0.7917	0.8837	0.8795	0.5069	0.6432	0.3856	0.9539	0.5492	1.0	0.3239	0.4894
0.3703	96.0	34944	1.7469	0.6970	0.7750	0.6965	0.6883	0.5455	0.9583	0.6952	0.9839	0.4236	0.5922	0.9231	0.5	0.6486	0.6464	0.7697	0.7027	0.7763	0.8310	0.8027
2.6558	97.0	35308	1.6194	0.7025	0.8071	0.7008	0.7179	0.9070	0.5417	0.6783	0.9062	0.8056	0.8529	0.7945	0.8056	0.8	0.4276	0.8158	0.5611	1.0	0.5352	0.6972
1.1283	98.0	35672	1.3466	0.7287	0.8044	0.7269	0.7223	0.9579	0.6319	0.7615	0.7657	0.9306	0.8401	0.7901	0.8889	0.8366	0.5083	0.8026	0.6224	1.0	0.3803	0.5510
2.2577	99.0	36036	0.7778	0.7920	0.8171	0.7929	0.7984	0.7143	0.9028	0.7975	0.928	0.8056	0.8625	0.8359	0.7431	0.7868	0.6158	0.7171	0.6626	0.9912	0.7958	0.8828
0.8955	100.0	36400	1.7110	0.7369	0.8185	0.7359	0.7259	0.98	0.3403	0.5052	0.9663	0.5972	0.7382	0.7901	0.9931	0.88	0.5116	0.8684	0.6439	0.8446	0.8803	0.8621

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
License: other
Created: Mar 7, 2025
Updated: Mar 7, 2025