smiles_llava

This model is a fine-tuned version of Salesforce/blip-image-captioning-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0064
• Accuracy: 0.9674

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: 6e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• 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: cosine
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
4.8969	0.0224	100	4.4867	0.0
4.1587	0.0448	200	3.4584	0.0014
3.0055	0.0672	300	2.5821	0.0014
1.5994	0.0896	400	1.5937	0.0027
0.9106	0.1120	500	0.9564	0.0068
0.649	0.1344	600	0.6497	0.0109
0.4068	0.1568	700	0.4567	0.0163
0.3836	0.1792	800	0.3997	0.0394
0.3197	0.2016	900	0.3010	0.0516
0.2139	0.2240	1000	0.2531	0.0774
0.1888	0.2464	1100	0.2234	0.1196
0.1511	0.2688	1200	0.2089	0.1467
0.1664	0.2912	1300	0.1664	0.2296
0.1342	0.3136	1400	0.1551	0.2772
0.1287	0.3360	1500	0.1390	0.2554
0.1254	0.3584	1600	0.1224	0.3247
0.1017	0.3808	1700	0.1148	0.3859
0.1017	0.4032	1800	0.1000	0.4212
0.0604	0.4256	1900	0.0919	0.4022
0.0962	0.4480	2000	0.1015	0.3546
0.1066	0.4704	2100	0.0895	0.4361
0.0995	0.4928	2200	0.0897	0.4266
0.0502	0.5152	2300	0.0781	0.5041
0.0554	0.5376	2400	0.0759	0.5190
0.0782	0.5600	2500	0.0689	0.5163
0.0653	0.5824	2600	0.0673	0.5842
0.0522	0.6048	2700	0.0561	0.6318
0.0417	0.6272	2800	0.0576	0.5788
0.0504	0.6496	2900	0.0532	0.6481
0.0533	0.6720	3000	0.0407	0.7242
0.0424	0.6944	3100	0.0430	0.7052
0.035	0.7168	3200	0.0514	0.6359
0.0393	0.7392	3300	0.0467	0.6549
0.058	0.7616	3400	0.0436	0.6821
0.0628	0.7840	3500	0.0395	0.6970
0.0285	0.8064	3600	0.0443	0.6889
0.023	0.8288	3700	0.0449	0.7120
0.0361	0.8512	3800	0.0392	0.7283
0.0302	0.8736	3900	0.0383	0.6957
0.0258	0.8960	4000	0.0347	0.7147
0.0494	0.9184	4100	0.0486	0.6603
0.022	0.9408	4200	0.0335	0.7473
0.0116	0.9632	4300	0.0288	0.8016
0.0389	0.9856	4400	0.0320	0.7717
0.0222	1.0078	4500	0.0286	0.7894
0.0201	1.0302	4600	0.0272	0.8003
0.0171	1.0526	4700	0.0246	0.8261
0.0237	1.0750	4800	0.0250	0.7962
0.0152	1.0974	4900	0.0296	0.7826
0.0272	1.1198	5000	0.0295	0.7799
0.0325	1.1422	5100	0.0291	0.7894
0.0221	1.1646	5200	0.0271	0.8016
0.0177	1.1870	5300	0.0270	0.8193
0.0197	1.2094	5400	0.0257	0.8111
0.0369	1.2318	5500	0.0256	0.7799
0.0167	1.2542	5600	0.0267	0.7880
0.013	1.2766	5700	0.0334	0.7663
0.0252	1.2990	5800	0.0359	0.7826
0.0106	1.3214	5900	0.0283	0.7853
0.0167	1.3438	6000	0.0263	0.7799
0.0234	1.3662	6100	0.0245	0.8152
0.0138	1.3886	6200	0.0223	0.8302
0.0184	1.4110	6300	0.0231	0.8043
0.0189	1.4334	6400	0.0329	0.75
0.0156	1.4558	6500	0.0259	0.8274
0.0301	1.4782	6600	0.0210	0.8424
0.017	1.5006	6700	0.0226	0.8573
0.0217	1.5230	6800	0.0236	0.8573
0.0156	1.5454	6900	0.0204	0.8519
0.0249	1.5678	7000	0.0246	0.8098
0.0152	1.5902	7100	0.0209	0.8220
0.0149	1.6126	7200	0.0306	0.8016
0.0123	1.6350	7300	0.0218	0.8288
0.0189	1.6574	7400	0.0256	0.8084
0.0244	1.6798	7500	0.0232	0.8098
0.0131	1.7022	7600	0.0185	0.8329
0.0241	1.7246	7700	0.0195	0.8886
0.0155	1.7470	7800	0.0291	0.8193
0.0081	1.7694	7900	0.0191	0.8478
0.0047	1.7918	8000	0.0224	0.8220
0.0092	1.8142	8100	0.0247	0.8424
0.0147	1.8366	8200	0.0229	0.8736
0.0084	1.8590	8300	0.0211	0.8736
0.0125	1.8814	8400	0.0283	0.8288
0.0145	1.9038	8500	0.0235	0.8302
0.0144	1.9262	8600	0.0204	0.8465
0.0055	1.9486	8700	0.0190	0.8587
0.0134	1.9710	8800	0.0222	0.8451
0.0058	1.9934	8900	0.0200	0.8791
0.0141	2.0157	9000	0.0206	0.8451
0.0103	2.0381	9100	0.0189	0.8587
0.0106	2.0605	9200	0.0150	0.8818
0.0056	2.0829	9300	0.0139	0.8845
0.0148	2.1053	9400	0.0117	0.9144
0.0072	2.1277	9500	0.0137	0.8872
0.0082	2.1501	9600	0.0197	0.8641
0.0104	2.1725	9700	0.0163	0.8736
0.0082	2.1949	9800	0.0176	0.8791
0.0236	2.2173	9900	0.0222	0.8410
0.0119	2.2397	10000	0.0206	0.8668
0.0263	2.2621	10100	0.0133	0.9144
0.0136	2.2845	10200	0.0215	0.8641
0.0096	2.3069	10300	0.0163	0.8927
0.0076	2.3293	10400	0.0170	0.875
0.0138	2.3517	10500	0.0180	0.8804
0.0139	2.3741	10600	0.0196	0.8696
0.025	2.3965	10700	0.0183	0.8573
0.0038	2.4189	10800	0.0180	0.8804
0.0082	2.4413	10900	0.0228	0.8261
0.0097	2.4637	11000	0.0219	0.8519
0.0076	2.4861	11100	0.0185	0.8913
0.0122	2.5085	11200	0.0212	0.8818
0.013	2.5309	11300	0.0199	0.8533
0.0087	2.5533	11400	0.0126	0.9103
0.0087	2.5757	11500	0.0154	0.8682
0.0097	2.5981	11600	0.0245	0.8410
0.0133	2.6205	11700	0.0195	0.8832
0.0088	2.6428	11800	0.0134	0.9022
0.0152	2.6652	11900	0.0153	0.8764
0.0026	2.6876	12000	0.0193	0.8818
0.0097	2.7100	12100	0.0222	0.8696
0.0113	2.7324	12200	0.0153	0.8845
0.0057	2.7548	12300	0.0188	0.8940
0.0092	2.7772	12400	0.0185	0.8872
0.0025	2.7996	12500	0.0167	0.8967
0.0158	2.8220	12600	0.0243	0.8451
0.0065	2.8444	12700	0.0186	0.8777
0.0044	2.8668	12800	0.0157	0.9049
0.0061	2.8892	12900	0.0148	0.8859
0.0058	2.9116	13000	0.0126	0.9062
0.0033	2.9340	13100	0.0121	0.9334
0.0084	2.9564	13200	0.0138	0.9171
0.0082	2.9788	13300	0.0202	0.8560
0.0049	3.0011	13400	0.0233	0.8478
0.0056	3.0235	13500	0.0255	0.8709
0.0054	3.0459	13600	0.0148	0.9049
0.0008	3.0683	13700	0.0153	0.8940
0.0029	3.0907	13800	0.0191	0.8777
0.0011	3.1131	13900	0.0165	0.9049
0.0052	3.1355	14000	0.0178	0.8913
0.0056	3.1579	14100	0.0163	0.9022
0.0069	3.1803	14200	0.0175	0.9103
0.0069	3.2027	14300	0.0209	0.9049
0.0066	3.2251	14400	0.0213	0.9062
0.0048	3.2475	14500	0.0186	0.8981
0.0029	3.2699	14600	0.0118	0.9158
0.0035	3.2923	14700	0.0155	0.9185
0.0137	3.3147	14800	0.0136	0.9117
0.0031	3.3371	14900	0.0161	0.9062
0.003	3.3595	15000	0.0151	0.8886
0.0025	3.3819	15100	0.0134	0.9239
0.0058	3.4043	15200	0.0115	0.9130
0.0166	3.4267	15300	0.0181	0.8899
0.0035	3.4491	15400	0.0173	0.8940
0.0042	3.4715	15500	0.0165	0.9049
0.001	3.4939	15600	0.0151	0.9049
0.0021	3.5163	15700	0.0180	0.8913
0.0034	3.5387	15800	0.0158	0.9239
0.0009	3.5611	15900	0.0126	0.9171
0.0025	3.5835	16000	0.0173	0.8940
0.0021	3.6059	16100	0.0172	0.8818
0.0033	3.6283	16200	0.0111	0.9416
0.0057	3.6507	16300	0.0120	0.9266
0.0051	3.6731	16400	0.0177	0.8804
0.0077	3.6955	16500	0.0166	0.8804
0.0016	3.7179	16600	0.0115	0.9361
0.0062	3.7403	16700	0.0161	0.9293
0.0064	3.7627	16800	0.0173	0.8832
0.0028	3.7851	16900	0.0053	0.9429
0.0038	3.8075	17000	0.0167	0.8981
0.0086	3.8299	17100	0.0122	0.9008
0.0008	3.8523	17200	0.0088	0.9185
0.0027	3.8747	17300	0.0156	0.8899
0.0017	3.8971	17400	0.0107	0.9171
0.0037	3.9195	17500	0.0101	0.9457
0.0113	3.9419	17600	0.0091	0.9348
0.004	3.9643	17700	0.0072	0.9429
0.0061	3.9867	17800	0.0143	0.9117
0.0011	4.0090	17900	0.0106	0.9185
0.0053	4.0314	18000	0.0137	0.9239
0.0059	4.0538	18100	0.0115	0.9022
0.0039	4.0762	18200	0.0070	0.9443
0.0074	4.0986	18300	0.0099	0.9266
0.001	4.1210	18400	0.0104	0.9280
0.0085	4.1434	18500	0.0113	0.9117
0.0054	4.1658	18600	0.0135	0.8886
0.006	4.1882	18700	0.0111	0.9185
0.0019	4.2105	18800	0.0083	0.9321
0.0074	4.2329	18900	0.0144	0.8981
0.0044	4.2553	19000	0.0123	0.9348
0.0021	4.2777	19100	0.0146	0.9158
0.0031	4.3001	19200	0.0140	0.8927
0.0045	4.3225	19300	0.0123	0.9117
0.0028	4.3449	19400	0.0113	0.9198
0.0018	4.3673	19500	0.0157	0.9049
0.0012	4.3897	19600	0.0078	0.9470
0.0035	4.4121	19700	0.0132	0.9307
0.0057	4.4345	19800	0.0107	0.9212
0.0016	4.4569	19900	0.0164	0.9022
0.0048	4.4793	20000	0.0118	0.9226
0.0072	4.5017	20100	0.0094	0.9158
0.0024	4.5241	20200	0.0077	0.9402
0.0112	4.5465	20300	0.0073	0.9334
0.0032	4.5689	20400	0.0126	0.9253
0.0048	4.5913	20500	0.0114	0.9361
0.0081	4.6137	20600	0.0157	0.9171
0.0013	4.6361	20700	0.0147	0.9103
0.0016	4.6585	20800	0.0109	0.9307
0.0016	4.6809	20900	0.0107	0.9307
0.0038	4.7033	21000	0.0118	0.9321
0.0027	4.7257	21100	0.0105	0.9334
0.0077	4.7481	21200	0.0103	0.9226
0.0024	4.7705	21300	0.0117	0.9348
0.0037	4.7929	21400	0.0091	0.9443
0.0017	4.8153	21500	0.0084	0.9457
0.0048	4.8377	21600	0.0097	0.9321
0.0021	4.8601	21700	0.0108	0.9416
0.0025	4.8825	21800	0.0118	0.9171
0.0026	4.9049	21900	0.0099	0.9198
0.0012	4.9273	22000	0.0062	0.9606
0.0015	4.9497	22100	0.0085	0.9389
0.0034	4.9721	22200	0.0151	0.9185
0.0003	4.9945	22300	0.0100	0.9171
0.0021	5.0168	22400	0.0087	0.9321
0.0006	5.0392	22500	0.0082	0.9606
0.0006	5.0616	22600	0.0115	0.9239
0.006	5.0840	22700	0.0098	0.9348
0.0022	5.1064	22800	0.0149	0.9117
0.0004	5.1288	22900	0.0075	0.9538
0.0003	5.1512	23000	0.0147	0.9280
0.0097	5.1736	23100	0.0130	0.9239
0.0012	5.1960	23200	0.0114	0.9470
0.0003	5.2184	23300	0.0094	0.9402
0.0039	5.2408	23400	0.0072	0.9429
0.0012	5.2632	23500	0.0068	0.9579
0.0001	5.2856	23600	0.0150	0.9280
0.001	5.3080	23700	0.0103	0.9470
0.0005	5.3304	23800	0.0136	0.9171
0.0004	5.3528	23900	0.0111	0.9389
0.0008	5.3752	24000	0.0130	0.9212
0.0046	5.3976	24100	0.0139	0.9375
0.004	5.4200	24200	0.0080	0.9497
0.0032	5.4424	24300	0.0089	0.9484
0.0004	5.4648	24400	0.0085	0.9552
0.0001	5.4872	24500	0.0081	0.9552
0.0008	5.5096	24600	0.0087	0.9565
0.0007	5.5320	24700	0.0093	0.9606
0.0002	5.5544	24800	0.0108	0.9307
0.0036	5.5768	24900	0.0099	0.9524
0.0006	5.5992	25000	0.0131	0.9117
0.003	5.6216	25100	0.0095	0.9429
0.0026	5.6440	25200	0.0108	0.9348
0.0002	5.6664	25300	0.0069	0.9660
0.0006	5.6888	25400	0.0080	0.9497
0.0001	5.7112	25500	0.0075	0.9633
0.0014	5.7336	25600	0.0064	0.9674
0.0004	5.7560	25700	0.0081	0.9606
0.0031	5.7784	25800	0.0071	0.9647
0.0009	5.8008	25900	0.0074	0.9579
0.0003	5.8232	26000	0.0094	0.9470
0.0003	5.8456	26100	0.0116	0.9416
0.0009	5.8680	26200	0.0082	0.9579
0.0025	5.8904	26300	0.0078	0.9524
0.0002	5.9128	26400	0.0104	0.9484
0.0003	5.9352	26500	0.0090	0.9484
0.0001	5.9576	26600	0.0115	0.9334
0.0008	5.9800	26700	0.0098	0.9307
0.0015	6.0022	26800	0.0083	0.9606
0.0001	6.0246	26900	0.0085	0.9524
0.0007	6.0470	27000	0.0080	0.9457
0.0007	6.0694	27100	0.0081	0.9484
0.0001	6.0918	27200	0.0058	0.9620
0.0001	6.1142	27300	0.0065	0.9565
0.0	6.1366	27400	0.0053	0.9715
0.0012	6.1590	27500	0.0078	0.9565
0.0017	6.1814	27600	0.0102	0.9497
0.0001	6.2038	27700	0.0079	0.9660
0.0004	6.2262	27800	0.0091	0.9457
0.0001	6.2486	27900	0.0102	0.9565
0.0	6.2710	28000	0.0080	0.9620
0.0011	6.2934	28100	0.0093	0.9497
0.0019	6.3158	28200	0.0097	0.9470
0.0032	6.3382	28300	0.0062	0.9647
0.0032	6.3606	28400	0.0091	0.9524
0.0001	6.3830	28500	0.0074	0.9443
0.0051	6.4054	28600	0.0095	0.9470
0.0001	6.4278	28700	0.0093	0.9565
0.0001	6.4502	28800	0.0089	0.9565
0.0004	6.4726	28900	0.0110	0.9375
0.001	6.4950	29000	0.0137	0.9321
0.0014	6.5174	29100	0.0113	0.9375
0.0001	6.5398	29200	0.0113	0.9348
0.0001	6.5622	29300	0.0108	0.9361
0.0001	6.5846	29400	0.0125	0.9375
0.0003	6.6070	29500	0.0084	0.9565
0.0009	6.6294	29600	0.0080	0.9389
0.0001	6.6518	29700	0.0108	0.9416
0.0002	6.6742	29800	0.0109	0.9375
0.0001	6.6966	29900	0.0070	0.9647
0.0001	6.7190	30000	0.0087	0.9674
0.0002	6.7414	30100	0.0086	0.9538
0.0003	6.7638	30200	0.0108	0.9524
0.0001	6.7862	30300	0.0105	0.9443
0.0002	6.8086	30400	0.0122	0.9429
0.0007	6.8310	30500	0.0117	0.9389
0.0001	6.8534	30600	0.0105	0.9429
0.0001	6.8758	30700	0.0100	0.9606
0.003	6.8982	30800	0.0084	0.9674
0.001	6.9206	30900	0.0074	0.9606
0.0	6.9430	31000	0.0099	0.9552
0.0002	6.9654	31100	0.0081	0.9552
0.0001	6.9878	31200	0.0093	0.9647
0.0002	7.0101	31300	0.0092	0.9660
0.0021	7.0325	31400	0.0077	0.9620
0.0	7.0549	31500	0.0090	0.9552
0.0	7.0773	31600	0.0075	0.9633
0.0002	7.0997	31700	0.0082	0.9606
0.0002	7.1221	31800	0.0077	0.9674
0.0002	7.1445	31900	0.0083	0.9620
0.0	7.1669	32000	0.0072	0.9701
0.0004	7.1893	32100	0.0077	0.9470
0.0006	7.2117	32200	0.0097	0.9620
0.0001	7.2341	32300	0.0096	0.9579
0.0001	7.2565	32400	0.0102	0.9579
0.0	7.2789	32500	0.0091	0.9592
0.0001	7.3013	32600	0.0073	0.9606
0.0013	7.3237	32700	0.0091	0.9538
0.0001	7.3461	32800	0.0086	0.9470
0.0024	7.3685	32900	0.0059	0.9660
0.0	7.3909	33000	0.0115	0.9565
0.0	7.4133	33100	0.0063	0.9633
0.0	7.4357	33200	0.0059	0.9701
0.0006	7.4581	33300	0.0076	0.9606
0.0	7.4805	33400	0.0047	0.9674
0.0	7.5029	33500	0.0049	0.9701
0.0	7.5253	33600	0.0067	0.9688
0.0001	7.5477	33700	0.0067	0.9688
0.0027	7.5701	33800	0.0074	0.9620
0.0	7.5925	33900	0.0064	0.9633
0.0001	7.6149	34000	0.0055	0.9620
0.0015	7.6372	34100	0.0062	0.9755
0.0	7.6596	34200	0.0072	0.9660
0.0	7.6820	34300	0.0085	0.9633
0.0	7.7044	34400	0.0095	0.9524
0.004	7.7268	34500	0.0090	0.9484
0.0011	7.7492	34600	0.0101	0.9511
0.0	7.7716	34700	0.0115	0.9457
0.0	7.7940	34800	0.0115	0.9511
0.0	7.8164	34900	0.0101	0.9429
0.0	7.8388	35000	0.0079	0.9538
0.0	7.8612	35100	0.0071	0.9620
0.0	7.8836	35200	0.0072	0.9606
0.0001	7.9060	35300	0.0064	0.9674
0.0	7.9284	35400	0.0086	0.9565
0.0	7.9508	35500	0.0115	0.9579
0.0	7.9732	35600	0.0087	0.9606
0.0	7.9956	35700	0.0096	0.9620
0.0	8.0179	35800	0.0101	0.9579
0.0	8.0403	35900	0.0093	0.9592
0.0	8.0627	36000	0.0093	0.9633
0.0	8.0851	36100	0.0079	0.9647
0.0	8.1075	36200	0.0079	0.9688
0.0	8.1299	36300	0.0080	0.9647
0.0	8.1523	36400	0.0082	0.9633
0.0	8.1747	36500	0.0084	0.9647
0.0	8.1971	36600	0.0088	0.9620
0.0004	8.2195	36700	0.0123	0.9524
0.0	8.2419	36800	0.0079	0.9647
0.0	8.2643	36900	0.0085	0.9606
0.0	8.2867	37000	0.0098	0.9633
0.0	8.3091	37100	0.0085	0.9579
0.0	8.3315	37200	0.0091	0.9429
0.0002	8.3539	37300	0.0084	0.9565
0.0	8.3763	37400	0.0082	0.9579
0.0	8.3987	37500	0.0100	0.9565
0.0	8.4211	37600	0.0087	0.9565
0.0	8.4435	37700	0.0075	0.9606
0.0	8.4659	37800	0.0076	0.9592
0.0	8.4883	37900	0.0078	0.9552
0.0	8.5107	38000	0.0068	0.9606
0.0	8.5331	38100	0.0067	0.9660
0.0	8.5555	38200	0.0066	0.9674
0.0	8.5779	38300	0.0070	0.9633
0.0	8.6003	38400	0.0069	0.9633
0.0	8.6227	38500	0.0070	0.9633
0.0	8.6451	38600	0.0073	0.9620
0.0	8.6675	38700	0.0073	0.9633
0.0	8.6899	38800	0.0085	0.9633
0.0	8.7123	38900	0.0085	0.9633
0.0	8.7347	39000	0.0087	0.9660
0.0	8.7571	39100	0.0081	0.9674
0.0	8.7795	39200	0.0077	0.9688
0.0	8.8019	39300	0.0071	0.9701
0.0002	8.8243	39400	0.0067	0.9701
0.0	8.8467	39500	0.0072	0.9688
0.0	8.8691	39600	0.0078	0.9674
0.0	8.8915	39700	0.0082	0.9660
0.0	8.9139	39800	0.0083	0.9674
0.0	8.9363	39900	0.0084	0.9674
0.0	8.9587	40000	0.0078	0.9701
0.0	8.9811	40100	0.0074	0.9660
0.0	9.0034	40200	0.0077	0.9660
0.0	9.0258	40300	0.0075	0.9688
0.0	9.0482	40400	0.0073	0.9674
0.0	9.0706	40500	0.0076	0.9674
0.0	9.0930	40600	0.0067	0.9688
0.0	9.1154	40700	0.0060	0.9715
0.0	9.1378	40800	0.0057	0.9728
0.0	9.1602	40900	0.0057	0.9728
0.0	9.1826	41000	0.0058	0.9728
0.0	9.2050	41100	0.0059	0.9715
0.0	9.2273	41200	0.0062	0.9701
0.0	9.2497	41300	0.0063	0.9701
0.0	9.2721	41400	0.0063	0.9701
0.0	9.2945	41500	0.0063	0.9701
0.0	9.3169	41600	0.0063	0.9701
0.0	9.3393	41700	0.0063	0.9701
0.0	9.3617	41800	0.0063	0.9701
0.0	9.3841	41900	0.0063	0.9701
0.0	9.4065	42000	0.0063	0.9701
0.0	9.4289	42100	0.0064	0.9701
0.0	9.4513	42200	0.0064	0.9701
0.0	9.4737	42300	0.0065	0.9688
0.0	9.4961	42400	0.0065	0.9674
0.0	9.5185	42500	0.0065	0.9674
0.0	9.5409	42600	0.0065	0.9674
0.0	9.5633	42700	0.0065	0.9688
0.0	9.5857	42800	0.0065	0.9688
0.0	9.6081	42900	0.0065	0.9688
0.0	9.6305	43000	0.0065	0.9688
0.0	9.6529	43100	0.0064	0.9688
0.0	9.6753	43200	0.0064	0.9688
0.0	9.6977	43300	0.0064	0.9688
0.0	9.7201	43400	0.0064	0.9674
0.0	9.7425	43500	0.0064	0.9674
0.0	9.7649	43600	0.0064	0.9688
0.0	9.7873	43700	0.0064	0.9688
0.0	9.8097	43800	0.0064	0.9688
0.0	9.8321	43900	0.0064	0.9674
0.0	9.8545	44000	0.0064	0.9674
0.0	9.8769	44100	0.0064	0.9674
0.0	9.8993	44200	0.0064	0.9674
0.0	9.9217	44300	0.0064	0.9674
0.0	9.9441	44400	0.0064	0.9674
0.0	9.9665	44500	0.0064	0.9688
0.0	9.9889	44600	0.0064	0.9674

Framework versions

• Transformers 4.49.0
• Pytorch 2.5.1+cu124
• Datasets 3.3.2
• Tokenizers 0.21.0