This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the Ahmed-ibn-Harun/BrainHermorrhage dataset. It achieves the following results on the evaluation set:

Loss: 0.3755
Accuracy: 0.8261
Sensitivity: 0.7221
Specificity: 0.9289
F1 Score: 0.8050
Auc: 0.9162

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: 0.0003
train_batch_size: 16
eval_batch_size: 8
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: 50
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Sensitivity	Specificity	F1 Score	Auc
0.3331	0.2188	100	0.4220	0.7891	0.6868	0.8902	0.7641	0.8947
0.4904	0.4376	200	0.4409	0.8038	0.7750	0.8324	0.7971	0.8931
0.4875	0.6565	300	0.5088	0.8162	0.9009	0.7324	0.8298	0.9057
0.4366	0.8753	400	0.3726	0.8314	0.7671	0.8951	0.8190	0.9190
0.4663	1.0941	500	0.4225	0.8157	0.8910	0.7412	0.8278	0.9201
0.2961	1.3129	600	0.3632	0.8339	0.7929	0.8745	0.8260	0.9244
0.3367	1.5317	700	0.4454	0.8117	0.8870	0.7373	0.8241	0.9083
0.4084	1.7505	800	0.5469	0.7408	0.9732	0.5108	0.7888	0.9068
0.3161	1.9694	900	0.3893	0.8329	0.8672	0.7990	0.8377	0.9282
0.4762	2.1882	1000	0.4871	0.7363	0.9633	0.5118	0.7842	0.8974
0.4006	2.4070	1100	0.4228	0.7900	0.9326	0.6490	0.8154	0.9257
0.4541	2.6258	1200	0.3389	0.8487	0.7641	0.9324	0.8340	0.9349
0.5397	2.8446	1300	0.4587	0.7565	0.9732	0.5422	0.7990	0.9244
0.2115	3.0635	1400	0.3976	0.8344	0.8196	0.8490	0.8312	0.9223
0.3588	3.2823	1500	0.3928	0.8211	0.8949	0.7480	0.8326	0.9208
0.3377	3.5011	1600	0.3943	0.8157	0.7483	0.8824	0.8015	0.9128
0.3385	3.7199	1700	0.3627	0.8428	0.8256	0.8598	0.8393	0.9247
0.3793	3.9387	1800	0.4015	0.8063	0.7592	0.8529	0.7958	0.9007
0.2774	4.1575	1900	0.4174	0.8186	0.8018	0.8353	0.8147	0.9090
0.2964	4.3764	2000	0.4120	0.8245	0.8940	0.7559	0.8352	0.9243
0.2042	4.5952	2100	0.3984	0.8383	0.8414	0.8353	0.8381	0.9214
0.2336	4.8140	2200	0.4263	0.8241	0.8722	0.7765	0.8314	0.9242
0.2292	5.0328	2300	0.4430	0.8339	0.8186	0.8490	0.8306	0.9241
0.265	5.2516	2400	0.4647	0.8314	0.7681	0.8941	0.8192	0.9204
0.2754	5.4705	2500	0.5476	0.7886	0.9128	0.6657	0.8111	0.9116
0.1859	5.6893	2600	0.4330	0.8324	0.8414	0.8235	0.8332	0.9218
0.1785	5.9081	2700	0.4180	0.8369	0.8375	0.8363	0.8362	0.9199
0.2057	6.1269	2800	0.4660	0.8319	0.8543	0.8098	0.8349	0.9158
0.289	6.3457	2900	0.4399	0.8186	0.8196	0.8176	0.8180	0.9086
0.1172	6.5646	3000	0.5597	0.8260	0.8474	0.8049	0.8289	0.9085
0.1758	6.7834	3100	0.4902	0.8201	0.8335	0.8069	0.8217	0.9078
0.2185	7.0022	3200	0.4738	0.8211	0.8295	0.8127	0.8218	0.9108
0.2255	7.2210	3300	0.5072	0.8098	0.8771	0.7431	0.8210	0.9082
0.213	7.4398	3400	0.4879	0.8379	0.7919	0.8833	0.8293	0.9126
0.1528	7.6586	3500	0.6054	0.8137	0.8276	0.8	0.8154	0.9057
0.1834	7.8775	3600	0.5653	0.8260	0.7532	0.8980	0.8115	0.9141
0.0812	8.0963	3700	0.6640	0.8176	0.7284	0.9059	0.7989	0.9068
0.1422	8.3151	3800	0.5916	0.8255	0.7721	0.8784	0.8149	0.9075
0.1116	8.5339	3900	0.5746	0.8226	0.8583	0.7873	0.8279	0.9057
0.1811	8.7527	4000	0.4679	0.8359	0.7869	0.8843	0.8267	0.9245
0.1949	8.9716	4100	0.4645	0.8201	0.7641	0.8755	0.8086	0.9048
0.036	9.1904	4200	0.6486	0.8349	0.7889	0.8804	0.8262	0.9116
0.1117	9.4092	4300	0.5656	0.8236	0.7433	0.9029	0.8073	0.9125
0.1101	9.6280	4400	0.5197	0.8285	0.8731	0.7843	0.8351	0.9226
0.2064	9.8468	4500	0.6169	0.8270	0.7641	0.8892	0.8146	0.9132
0.0647	10.0656	4600	0.5593	0.8255	0.7542	0.8961	0.8113	0.9122
0.0566	10.2845	4700	0.5822	0.8245	0.7384	0.9098	0.8072	0.9182
0.1324	10.5033	4800	0.5593	0.8319	0.7948	0.8686	0.8247	0.9146
0.0824	10.7221	4900	0.6553	0.8117	0.7037	0.9186	0.7880	0.9130
0.2134	10.9409	5000	0.5847	0.8334	0.8880	0.7794	0.8413	0.9271
0.0835	11.1597	5100	0.6585	0.8314	0.8008	0.8618	0.8253	0.9130
0.0936	11.3786	5200	0.8768	0.8191	0.7939	0.8441	0.8136	0.9062
0.0325	11.5974	5300	0.6502	0.8423	0.8315	0.8529	0.8398	0.9209
0.1054	11.8162	5400	0.5742	0.8354	0.8256	0.8451	0.833	0.9186
0.0157	12.0350	5500	0.7790	0.8324	0.8256	0.8392	0.8305	0.9150
0.0929	12.2538	5600	0.5779	0.8433	0.7978	0.8882	0.8351	0.9183
0.0553	12.4726	5700	0.6642	0.8369	0.8157	0.8578	0.8326	0.9154
0.1012	12.6915	5800	0.6882	0.8344	0.8494	0.8196	0.8361	0.9218
0.1292	12.9103	5900	0.6949	0.8310	0.7800	0.8814	0.8211	0.9114
0.103	13.1291	6000	0.7031	0.8398	0.8216	0.8578	0.8361	0.9162
0.0652	13.3479	6100	0.7927	0.8379	0.8176	0.8578	0.8338	0.9178
0.1194	13.5667	6200	0.7817	0.8211	0.7602	0.8814	0.8086	0.9125
0.2684	13.7856	6300	0.7446	0.8221	0.7017	0.9412	0.7968	0.9164
0.1194	14.0044	6400	0.7420	0.8334	0.8305	0.8363	0.8322	0.9152
0.0548	14.2232	6500	0.8545	0.8295	0.8543	0.8049	0.8329	0.8918
0.0681	14.4420	6600	0.8680	0.7915	0.6373	0.9441	0.7525	0.9094
0.0627	14.6608	6700	0.6181	0.8487	0.8028	0.8941	0.8407	0.9206
0.0565	14.8796	6800	0.7248	0.8241	0.8117	0.8363	0.8211	0.9108
0.0879	15.0985	6900	0.6817	0.8295	0.8484	0.8108	0.8319	0.9208
0.1235	15.3173	7000	0.7360	0.8344	0.8434	0.8255	0.8351	0.9143
0.1256	15.5361	7100	0.6166	0.8300	0.7839	0.8755	0.8210	0.9114
0.0353	15.7549	7200	0.7718	0.8339	0.8771	0.7912	0.8401	0.9231
0.0838	15.9737	7300	0.7930	0.8305	0.7919	0.8686	0.8229	0.8963
0.0345	16.1926	7400	0.9201	0.8231	0.7304	0.9147	0.8041	0.8816
0.0263	16.4114	7500	0.8642	0.8310	0.7433	0.9176	0.8139	0.9021
0.0471	16.6302	7600	0.8542	0.8324	0.7631	0.9010	0.8191	0.9031
0.0894	16.8490	7700	0.7756	0.8034	0.7116	0.8941	0.7826	0.8999
0.0649	17.0678	7800	0.7112	0.8344	0.8484	0.8206	0.8359	0.9077
0.0567	17.2867	7900	0.7433	0.8452	0.8394	0.8510	0.8436	0.9106
0.0229	17.5055	8000	0.8775	0.8255	0.7542	0.8961	0.8113	0.9017
0.009	17.7243	8100	0.8561	0.8349	0.7958	0.8735	0.8274	0.9062
0.0838	17.9431	8200	0.9441	0.8255	0.8771	0.7745	0.8333	0.9211
0.0958	18.1619	8300	0.9286	0.8255	0.7374	0.9127	0.8078	0.8961
0.0422	18.3807	8400	0.8053	0.8369	0.8186	0.8549	0.8331	0.9114
0.053	18.5996	8500	0.8440	0.8388	0.8067	0.8706	0.8327	0.8972
0.0462	18.8184	8600	0.7419	0.8221	0.8137	0.8304	0.8198	0.9108
0.0474	19.0372	8700	0.8702	0.8231	0.7849	0.8608	0.8152	0.8997
0.0257	19.2560	8800	0.8966	0.8157	0.7473	0.8833	0.8013	0.9049
0.0214	19.4748	8900	0.9787	0.8275	0.7839	0.8706	0.8188	0.8877
0.1409	19.6937	9000	0.8695	0.8379	0.7899	0.8853	0.8289	0.9084
0.0715	19.9125	9100	0.9500	0.8245	0.8028	0.8461	0.8198	0.8975
0.0331	20.1313	9200	0.9371	0.8334	0.8375	0.8294	0.8333	0.9042
0.0259	20.3501	9300	0.8587	0.8374	0.8127	0.8618	0.8325	0.9124
0.0093	20.5689	9400	0.7861	0.8393	0.8196	0.8588	0.8354	0.9182
0.0103	20.7877	9500	0.7921	0.8359	0.7800	0.8912	0.8254	0.9119
0.1187	21.0066	9600	0.7618	0.8260	0.7512	0.9	0.8111	0.9166
0.0024	21.2254	9700	0.9334	0.8319	0.8632	0.8010	0.8363	0.9123
0.0993	21.4442	9800	0.8067	0.8310	0.8682	0.7941	0.8363	0.9177
0.145	21.6630	9900	0.7816	0.8324	0.7770	0.8873	0.8218	0.9108
0.054	21.8818	10000	0.8371	0.8413	0.8523	0.8304	0.8423	0.9190
0.0446	22.1007	10100	0.8001	0.8354	0.7899	0.8804	0.8268	0.9084
0.1218	22.3195	10200	0.8164	0.8364	0.7701	0.9020	0.8240	0.9078
0.032	22.5383	10300	0.8353	0.8359	0.8256	0.8461	0.8334	0.9157
0.0804	22.7571	10400	0.8301	0.8314	0.7859	0.8765	0.8226	0.9149
0.0982	22.9759	10500	0.8366	0.8339	0.8305	0.8373	0.8326	0.9160
0.0153	23.1947	10600	0.8395	0.8295	0.7948	0.8637	0.8226	0.9150
0.0647	23.4136	10700	0.8342	0.8364	0.8662	0.8069	0.8404	0.9230
0.0906	23.6324	10800	0.8414	0.8078	0.8900	0.7265	0.8216	0.9166
0.0071	23.8512	10900	0.8552	0.8354	0.7889	0.8814	0.8266	0.9053
0.0254	24.0700	11000	0.8612	0.8428	0.7830	0.9020	0.8320	0.9009
0.0265	24.2888	11100	1.0379	0.8245	0.7195	0.9284	0.8031	0.8937
0.048	24.5077	11200	1.0143	0.8285	0.7611	0.8951	0.8153	0.8942
0.0005	24.7265	11300	0.9883	0.8310	0.8077	0.8539	0.8262	0.9024
0.1702	24.9453	11400	1.0282	0.8339	0.7512	0.9157	0.8181	0.9078
0.0006	25.1641	11500	0.9612	0.8448	0.8712	0.8186	0.8480	0.9151
0.0425	25.3829	11600	1.0040	0.8438	0.8612	0.8265	0.8457	0.9143
0.0006	25.6018	11700	0.9840	0.8305	0.7790	0.8814	0.8205	0.9117
0.0029	25.8206	11800	1.0850	0.8295	0.7294	0.9284	0.8097	0.9039
0.0776	26.0394	11900	0.9524	0.8334	0.8335	0.8333	0.8327	0.9119
0.0543	26.2582	12000	0.9541	0.8329	0.7572	0.9078	0.8184	0.9097
0.0018	26.4770	12100	0.8137	0.8393	0.8712	0.8078	0.8436	0.9225
0.0512	26.6958	12200	1.0741	0.8176	0.8712	0.7647	0.8261	0.8886
0.0008	26.9147	12300	1.0294	0.8393	0.8484	0.8304	0.8400	0.8987
0.043	27.1335	12400	0.9720	0.8334	0.8682	0.7990	0.8383	0.9135
0.0013	27.3523	12500	0.9571	0.8374	0.7800	0.8941	0.8267	0.9120
0.0163	27.5711	12600	0.9475	0.8305	0.8167	0.8441	0.8273	0.9102
0.0034	27.7899	12700	0.8116	0.8403	0.8365	0.8441	0.8390	0.9183
0.0014	28.0088	12800	0.9375	0.8305	0.8285	0.8324	0.8294	0.9139
0.0008	28.2276	12900	1.0335	0.8314	0.7602	0.9020	0.8177	0.9072
0.0497	28.4464	13000	1.0562	0.8285	0.7592	0.8971	0.8149	0.9039
0.0319	28.6652	13100	0.7997	0.8364	0.8444	0.8284	0.8369	0.9167
0.0932	28.8840	13200	0.8591	0.8167	0.8474	0.7863	0.8213	0.9142
0.0007	29.1028	13300	0.8555	0.8379	0.8246	0.8510	0.8349	0.9196
0.0025	29.3217	13400	0.9062	0.8359	0.8236	0.8480	0.8331	0.9147
0.0117	29.5405	13500	0.8089	0.8339	0.8345	0.8333	0.8333	0.9181
0.0505	29.7593	13600	0.9048	0.8329	0.8404	0.8255	0.8334	0.9167
0.0484	29.9781	13700	1.0264	0.8265	0.8573	0.7961	0.8309	0.9133
0.0004	30.1969	13800	1.0712	0.8349	0.8087	0.8608	0.8297	0.9053
0.0157	30.4158	13900	1.0159	0.8236	0.8186	0.8284	0.8219	0.9062
0.0004	30.6346	14000	1.0367	0.8305	0.8196	0.8412	0.8278	0.9022
0.0003	30.8534	14100	0.9853	0.8314	0.8345	0.8284	0.8312	0.9123
0.0039	31.0722	14200	0.9839	0.8413	0.7869	0.8951	0.8314	0.9124
0.0505	31.2910	14300	1.0911	0.8339	0.8741	0.7941	0.8396	0.9033
0.0007	31.5098	14400	0.8740	0.8374	0.8246	0.85	0.8345	0.9208
0.0004	31.7287	14500	0.9801	0.8398	0.8295	0.85	0.8374	0.9208
0.0592	31.9475	14600	1.0447	0.8305	0.8404	0.8206	0.8314	0.9165
0.0003	32.1663	14700	1.1005	0.8245	0.8543	0.7951	0.8288	0.9129
0.0002	32.3851	14800	1.1025	0.8319	0.8176	0.8461	0.8287	0.9108
0.0428	32.6039	14900	1.0779	0.8310	0.8236	0.8382	0.8289	0.9096
0.049	32.8228	15000	0.9729	0.8408	0.8295	0.8520	0.8383	0.9208
0.0219	33.0416	15100	0.9851	0.8211	0.7661	0.8755	0.8098	0.9120
0.001	33.2604	15200	0.9834	0.8349	0.8256	0.8441	0.8326	0.9166
0.0009	33.4792	15300	1.0128	0.8270	0.7463	0.9069	0.8110	0.9130
0.0146	33.6980	15400	0.9835	0.8300	0.7790	0.8804	0.8200	0.9097
0.0184	33.9168	15500	0.8922	0.8290	0.8276	0.8304	0.8280	0.9183
0.0528	34.1357	15600	0.9727	0.8398	0.7899	0.8892	0.8306	0.9107
0.0018	34.3545	15700	1.0313	0.8413	0.8196	0.8627	0.8370	0.9065
0.0002	34.5733	15800	1.0882	0.8374	0.7978	0.8765	0.8299	0.9065
0.0002	34.7921	15900	1.0866	0.8379	0.8236	0.8520	0.8348	0.9045
0.0865	35.0109	16000	1.0595	0.8300	0.7602	0.8990	0.8164	0.8971
0.0004	35.2298	16100	1.0287	0.8344	0.7988	0.8696	0.8275	0.9041
0.0003	35.4486	16200	1.0652	0.8305	0.8176	0.8431	0.8275	0.8877
0.0006	35.6674	16300	1.0627	0.8270	0.7988	0.8549	0.8212	0.8848
0.0003	35.8862	16400	1.1173	0.8339	0.7780	0.8892	0.8233	0.8843
0.0002	36.1050	16500	1.1114	0.8379	0.8048	0.8706	0.8315	0.8948
0.0002	36.3239	16600	1.1165	0.8379	0.8137	0.8618	0.8331	0.8968
0.0004	36.5427	16700	1.1693	0.8369	0.8147	0.8588	0.8324	0.8918
0.0002	36.7615	16800	1.1609	0.8364	0.8325	0.8402	0.8350	0.8856
0.0007	36.9803	16900	1.1993	0.8334	0.8107	0.8559	0.8288	0.8935
0.0002	37.1991	17000	1.0206	0.8374	0.8652	0.8098	0.8410	0.9128
0.0024	37.4179	17100	0.9984	0.8359	0.7899	0.8814	0.8272	0.9094
0.0005	37.6368	17200	1.1162	0.8388	0.7671	0.9098	0.8256	0.8987
0.0008	37.8556	17300	0.9434	0.8433	0.8414	0.8451	0.8423	0.9146
0.0003	38.0744	17400	0.9508	0.8457	0.8523	0.8392	0.8460	0.9200
0.0003	38.2932	17500	1.0299	0.8379	0.8345	0.8412	0.8366	0.9183
0.0002	38.5120	17600	1.0518	0.8438	0.8325	0.8549	0.8413	0.9178
0.0015	38.7309	17700	1.0205	0.8472	0.8464	0.8480	0.8464	0.9210
0.0188	38.9497	17800	1.0644	0.8438	0.7968	0.8902	0.8353	0.9183
0.0002	39.1685	17900	1.0497	0.8443	0.8266	0.8618	0.8407	0.9220
0.0003	39.3873	18000	1.0802	0.8443	0.8236	0.8647	0.8402	0.9210
0.0002	39.6061	18100	1.1465	0.8393	0.7958	0.8824	0.8313	0.9186
0.0002	39.8249	18200	1.0551	0.8467	0.8147	0.8784	0.8409	0.9185
0.0002	40.0438	18300	1.0791	0.8467	0.8147	0.8784	0.8409	0.9171
0.0002	40.2626	18400	1.0902	0.8487	0.8176	0.8794	0.8431	0.9175
0.0002	40.4814	18500	1.1028	0.8487	0.8176	0.8794	0.8431	0.9175
0.0001	40.7002	18600	1.1156	0.8487	0.8176	0.8794	0.8431	0.9165
0.0001	40.9190	18700	1.1266	0.8487	0.8176	0.8794	0.8431	0.9168
0.0002	41.1379	18800	1.0527	0.8472	0.8246	0.8696	0.8430	0.9186
0.0002	41.3567	18900	1.0758	0.8477	0.8226	0.8725	0.8431	0.9190
0.0001	41.5755	19000	1.0940	0.8492	0.8216	0.8765	0.8442	0.9199
0.0268	41.7943	19100	0.9887	0.8374	0.8494	0.8255	0.8386	0.9196
0.002	42.0131	19200	1.0890	0.8354	0.7730	0.8971	0.8237	0.9172
0.0002	42.2319	19300	1.0668	0.8418	0.8147	0.8686	0.8366	0.9154
0.0001	42.4508	19400	1.1239	0.8383	0.7899	0.8863	0.8293	0.9150
0.0001	42.6696	19500	1.1372	0.8364	0.8285	0.8441	0.8343	0.9084
0.0001	42.8884	19600	1.1153	0.8393	0.7869	0.8912	0.8297	0.9200
0.0001	43.1072	19700	1.1482	0.8413	0.7790	0.9029	0.8300	0.9184
0.0001	43.3260	19800	1.1535	0.8388	0.7859	0.8912	0.8291	0.9180
0.0001	43.5449	19900	1.1138	0.8393	0.8236	0.8549	0.8360	0.9188
0.0001	43.7637	20000	1.1321	0.8393	0.8186	0.8598	0.8352	0.9176
0.0001	43.9825	20100	1.1473	0.8403	0.8147	0.8657	0.8354	0.9163
0.0001	44.2013	20200	1.1550	0.8413	0.8137	0.8686	0.8360	0.9154
0.0001	44.4201	20300	1.1630	0.8428	0.8127	0.8725	0.8372	0.9143
0.0001	44.6389	20400	1.1718	0.8428	0.8117	0.8735	0.8370	0.9133
0.0001	44.8578	20500	1.1793	0.8428	0.8117	0.8735	0.8370	0.9129
0.0001	45.0766	20600	1.1869	0.8418	0.8097	0.8735	0.8358	0.9121
0.0001	45.2954	20700	1.1931	0.8413	0.8087	0.8735	0.8352	0.9115
0.0001	45.5142	20800	1.1990	0.8418	0.8097	0.8735	0.8358	0.9103
0.0001	45.7330	20900	1.2056	0.8418	0.8087	0.8745	0.8356	0.9097
0.0001	45.9519	21000	1.2116	0.8423	0.8087	0.8755	0.8361	0.9092
0.0001	46.1707	21100	1.2176	0.8428	0.8087	0.8765	0.8365	0.9090
0.0001	46.3895	21200	1.2233	0.8433	0.8087	0.8775	0.8369	0.9082
0.0001	46.6083	21300	1.2281	0.8433	0.8087	0.8775	0.8369	0.9079
0.0001	46.8271	21400	1.2322	0.8433	0.8087	0.8775	0.8369	0.9075
0.0001	47.0460	21500	1.2365	0.8433	0.8087	0.8775	0.8369	0.9075
0.0001	47.2648	21600	1.2402	0.8433	0.8087	0.8775	0.8369	0.9074
0.0001	47.4836	21700	1.2447	0.8433	0.8087	0.8775	0.8369	0.9060
0.0001	47.7024	21800	1.2484	0.8433	0.8087	0.8775	0.8369	0.9068
0.0001	47.9212	21900	1.2516	0.8433	0.8087	0.8775	0.8369	0.9064
0.0	48.1400	22000	1.2546	0.8433	0.8087	0.8775	0.8369	0.9068
0.0	48.3589	22100	1.2572	0.8433	0.8087	0.8775	0.8369	0.9062
0.0	48.5777	22200	1.2603	0.8433	0.8087	0.8775	0.8369	0.9058
0.0	48.7965	22300	1.2628	0.8438	0.8087	0.8784	0.8374	0.9057
0.0	49.0153	22400	1.2647	0.8438	0.8087	0.8784	0.8374	0.9053
0.0	49.2341	22500	1.2663	0.8438	0.8087	0.8784	0.8374	0.9055
0.0	49.4530	22600	1.2679	0.8438	0.8087	0.8784	0.8374	0.9058
0.0	49.6718	22700	1.2687	0.8438	0.8087	0.8784	0.8374	0.9057
0.0	49.8906	22800	1.2691	0.8438	0.8087	0.8784	0.8374	0.9061

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 2.20.0
Tokenizers 0.21.0

Ahmed-ibn-Harun/BrainHermorrhage-vit-base

BrainHermorrhage-vit-base

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Ahmed-ibn-Harun/
BrainHermorrhage-vit-base