--- license: apache-2.0 base_model: google/vit-base-patch32-224-in21k tags: - generated_from_trainer metrics: - accuracy model-index: - name: FASHION-vision results: [] --- # FASHION-vision This model is a fine-tuned version of [google/vit-base-patch32-224-in21k](https://huggingface.co/google/vit-base-patch32-224-in21k) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.4566 - Accuracy: 0.9073 ## 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: 32 - eval_batch_size: 32 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 128 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 300 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:------:|:---------------:|:--------:| | 2.0665 | 1.0 | 375 | 2.0520 | 0.5303 | | 1.3346 | 2.0 | 750 | 1.3436 | 0.7141 | | 1.0001 | 3.0 | 1125 | 0.9733 | 0.7697 | | 0.7604 | 4.0 | 1500 | 0.7950 | 0.7964 | | 0.651 | 5.0 | 1875 | 0.6824 | 0.8224 | | 0.5874 | 6.0 | 2250 | 0.6112 | 0.8266 | | 0.5543 | 7.0 | 2625 | 0.5375 | 0.8391 | | 0.504 | 8.0 | 3000 | 0.4992 | 0.8472 | | 0.5299 | 9.0 | 3375 | 0.4514 | 0.8597 | | 0.4556 | 10.0 | 3750 | 0.4251 | 0.8616 | | 0.3919 | 11.0 | 4125 | 0.4200 | 0.8592 | | 0.3716 | 12.0 | 4500 | 0.3959 | 0.8643 | | 0.348 | 13.0 | 4875 | 0.3788 | 0.8698 | | 0.3476 | 14.0 | 5250 | 0.3631 | 0.8717 | | 0.3438 | 15.0 | 5625 | 0.3598 | 0.8752 | | 0.3438 | 16.0 | 6000 | 0.3482 | 0.8769 | | 0.2837 | 17.0 | 6375 | 0.3464 | 0.8814 | | 0.3265 | 18.0 | 6750 | 0.3626 | 0.8697 | | 0.276 | 19.0 | 7125 | 0.3304 | 0.8846 | | 0.307 | 20.0 | 7500 | 0.3348 | 0.8838 | | 0.317 | 21.0 | 7875 | 0.3291 | 0.885 | | 0.3304 | 22.0 | 8250 | 0.3252 | 0.8844 | | 0.2476 | 23.0 | 8625 | 0.3164 | 0.8888 | | 0.3002 | 24.0 | 9000 | 0.3332 | 0.8801 | | 0.2899 | 25.0 | 9375 | 0.3259 | 0.8835 | | 0.264 | 26.0 | 9750 | 0.3254 | 0.8848 | | 0.2713 | 27.0 | 10125 | 0.3120 | 0.8901 | | 0.2392 | 28.0 | 10500 | 0.3280 | 0.8842 | | 0.2299 | 29.0 | 10875 | 0.3202 | 0.8861 | | 0.2494 | 30.0 | 11250 | 0.3310 | 0.8888 | | 0.24 | 31.0 | 11625 | 0.3334 | 0.8821 | | 0.1909 | 32.0 | 12000 | 0.3239 | 0.8892 | | 0.2784 | 33.0 | 12375 | 0.3418 | 0.8818 | | 0.2146 | 34.0 | 12750 | 0.3290 | 0.885 | | 0.2113 | 35.0 | 13125 | 0.3377 | 0.8844 | | 0.187 | 36.0 | 13500 | 0.3118 | 0.8915 | | 0.2356 | 37.0 | 13875 | 0.3338 | 0.8837 | | 0.212 | 38.0 | 14250 | 0.3225 | 0.8955 | | 0.1891 | 39.0 | 14625 | 0.3241 | 0.8914 | | 0.1825 | 40.0 | 15000 | 0.3227 | 0.8912 | | 0.1999 | 41.0 | 15375 | 0.3258 | 0.8954 | | 0.2248 | 42.0 | 15750 | 0.3196 | 0.8967 | | 0.2047 | 43.0 | 16125 | 0.3301 | 0.8916 | | 0.1734 | 44.0 | 16500 | 0.3314 | 0.8922 | | 0.2015 | 45.0 | 16875 | 0.3161 | 0.8927 | | 0.192 | 46.0 | 17250 | 0.3346 | 0.8915 | | 0.1698 | 47.0 | 17625 | 0.3351 | 0.8928 | | 0.1871 | 48.0 | 18000 | 0.3311 | 0.892 | | 0.1849 | 49.0 | 18375 | 0.3172 | 0.8973 | | 0.1804 | 50.0 | 18750 | 0.3360 | 0.8906 | | 0.2109 | 51.0 | 19125 | 0.3325 | 0.8924 | | 0.1739 | 52.0 | 19500 | 0.3476 | 0.8921 | | 0.1853 | 53.0 | 19875 | 0.3473 | 0.8856 | | 0.1733 | 54.0 | 20250 | 0.3461 | 0.8939 | | 0.166 | 55.0 | 20625 | 0.3455 | 0.894 | | 0.1459 | 56.0 | 21000 | 0.3602 | 0.8918 | | 0.1609 | 57.0 | 21375 | 0.3481 | 0.8911 | | 0.1591 | 58.0 | 21750 | 0.3587 | 0.8924 | | 0.1613 | 59.0 | 22125 | 0.3413 | 0.8955 | | 0.1294 | 60.0 | 22500 | 0.3239 | 0.9012 | | 0.1521 | 61.0 | 22875 | 0.3337 | 0.898 | | 0.1574 | 62.0 | 23250 | 0.3511 | 0.8902 | | 0.187 | 63.0 | 23625 | 0.3423 | 0.8942 | | 0.1674 | 64.0 | 24000 | 0.3452 | 0.8967 | | 0.1359 | 65.0 | 24375 | 0.3572 | 0.8942 | | 0.1443 | 66.0 | 24750 | 0.3602 | 0.894 | | 0.1427 | 67.0 | 25125 | 0.3513 | 0.8995 | | 0.1431 | 68.0 | 25500 | 0.3676 | 0.8945 | | 0.1421 | 69.0 | 25875 | 0.3524 | 0.897 | | 0.1422 | 70.0 | 26250 | 0.3651 | 0.894 | | 0.1462 | 71.0 | 26625 | 0.3463 | 0.8996 | | 0.1396 | 72.0 | 27000 | 0.3546 | 0.8969 | | 0.1705 | 73.0 | 27375 | 0.3696 | 0.8937 | | 0.1377 | 74.0 | 27750 | 0.3731 | 0.8902 | | 0.1637 | 75.0 | 28125 | 0.3612 | 0.8948 | | 0.1555 | 76.0 | 28500 | 0.3654 | 0.8977 | | 0.1319 | 77.0 | 28875 | 0.3650 | 0.8967 | | 0.138 | 78.0 | 29250 | 0.3723 | 0.8957 | | 0.1292 | 79.0 | 29625 | 0.3750 | 0.8935 | | 0.1356 | 80.0 | 30000 | 0.3789 | 0.894 | | 0.1118 | 81.0 | 30375 | 0.3815 | 0.8955 | | 0.1205 | 82.0 | 30750 | 0.3631 | 0.8979 | | 0.1212 | 83.0 | 31125 | 0.3582 | 0.8972 | | 0.1414 | 84.0 | 31500 | 0.3715 | 0.9005 | | 0.139 | 85.0 | 31875 | 0.3734 | 0.8991 | | 0.1055 | 86.0 | 32250 | 0.3782 | 0.8991 | | 0.1072 | 87.0 | 32625 | 0.3676 | 0.897 | | 0.1089 | 88.0 | 33000 | 0.3871 | 0.893 | | 0.1376 | 89.0 | 33375 | 0.3615 | 0.9008 | | 0.178 | 90.0 | 33750 | 0.4045 | 0.8899 | | 0.1157 | 91.0 | 34125 | 0.3869 | 0.8952 | | 0.1283 | 92.0 | 34500 | 0.3816 | 0.8968 | | 0.1282 | 93.0 | 34875 | 0.3847 | 0.8973 | | 0.1208 | 94.0 | 35250 | 0.3883 | 0.8947 | | 0.1178 | 95.0 | 35625 | 0.3892 | 0.8948 | | 0.1317 | 96.0 | 36000 | 0.4091 | 0.8952 | | 0.1156 | 97.0 | 36375 | 0.3708 | 0.8986 | | 0.1118 | 98.0 | 36750 | 0.3632 | 0.9021 | | 0.1138 | 99.0 | 37125 | 0.3704 | 0.8975 | | 0.0923 | 100.0 | 37500 | 0.3937 | 0.8998 | | 0.1432 | 101.0 | 37875 | 0.3692 | 0.8989 | | 0.1014 | 102.0 | 38250 | 0.3817 | 0.8982 | | 0.1206 | 103.0 | 38625 | 0.3950 | 0.8951 | | 0.1316 | 104.0 | 39000 | 0.3859 | 0.8984 | | 0.1544 | 105.0 | 39375 | 0.3900 | 0.8962 | | 0.1435 | 106.0 | 39750 | 0.3737 | 0.8976 | | 0.1186 | 107.0 | 40125 | 0.3737 | 0.8997 | | 0.1179 | 108.0 | 40500 | 0.3859 | 0.8979 | | 0.1149 | 109.0 | 40875 | 0.3834 | 0.899 | | 0.1038 | 110.0 | 41250 | 0.3658 | 0.9036 | | 0.1058 | 111.0 | 41625 | 0.3891 | 0.9005 | | 0.1266 | 112.0 | 42000 | 0.3828 | 0.8969 | | 0.1146 | 113.0 | 42375 | 0.4001 | 0.8918 | | 0.116 | 114.0 | 42750 | 0.4029 | 0.8939 | | 0.1114 | 115.0 | 43125 | 0.3988 | 0.8991 | | 0.123 | 116.0 | 43500 | 0.3934 | 0.8978 | | 0.1151 | 117.0 | 43875 | 0.3915 | 0.8958 | | 0.1459 | 118.0 | 44250 | 0.3837 | 0.8983 | | 0.0967 | 119.0 | 44625 | 0.3942 | 0.8978 | | 0.1157 | 120.0 | 45000 | 0.4096 | 0.8998 | | 0.11 | 121.0 | 45375 | 0.3997 | 0.9007 | | 0.104 | 122.0 | 45750 | 0.3807 | 0.8998 | | 0.0997 | 123.0 | 46125 | 0.4028 | 0.8966 | | 0.0822 | 124.0 | 46500 | 0.4013 | 0.8955 | | 0.0918 | 125.0 | 46875 | 0.3977 | 0.8989 | | 0.0828 | 126.0 | 47250 | 0.4008 | 0.8986 | | 0.0814 | 127.0 | 47625 | 0.3996 | 0.8995 | | 0.098 | 128.0 | 48000 | 0.3950 | 0.8966 | | 0.1019 | 129.0 | 48375 | 0.4040 | 0.8981 | | 0.1169 | 130.0 | 48750 | 0.3959 | 0.9001 | | 0.1085 | 131.0 | 49125 | 0.4050 | 0.8999 | | 0.1144 | 132.0 | 49500 | 0.3851 | 0.8999 | | 0.078 | 133.0 | 49875 | 0.4251 | 0.8948 | | 0.1126 | 134.0 | 50250 | 0.4209 | 0.8968 | | 0.1164 | 135.0 | 50625 | 0.4059 | 0.8977 | | 0.0827 | 136.0 | 51000 | 0.4044 | 0.9005 | | 0.1045 | 137.0 | 51375 | 0.3909 | 0.8996 | | 0.0791 | 138.0 | 51750 | 0.4036 | 0.8964 | | 0.0783 | 139.0 | 52125 | 0.4175 | 0.8998 | | 0.0922 | 140.0 | 52500 | 0.4035 | 0.9019 | | 0.1062 | 141.0 | 52875 | 0.4038 | 0.8976 | | 0.1096 | 142.0 | 53250 | 0.4117 | 0.8994 | | 0.1017 | 143.0 | 53625 | 0.4025 | 0.9024 | | 0.077 | 144.0 | 54000 | 0.4227 | 0.9015 | | 0.1038 | 145.0 | 54375 | 0.3858 | 0.9004 | | 0.1042 | 146.0 | 54750 | 0.3862 | 0.9005 | | 0.0697 | 147.0 | 55125 | 0.4004 | 0.9026 | | 0.1098 | 148.0 | 55500 | 0.4259 | 0.8995 | | 0.0792 | 149.0 | 55875 | 0.4105 | 0.9002 | | 0.0785 | 150.0 | 56250 | 0.4291 | 0.8995 | | 0.0948 | 151.0 | 56625 | 0.4191 | 0.9022 | | 0.0758 | 152.0 | 57000 | 0.4425 | 0.8948 | | 0.084 | 153.0 | 57375 | 0.3989 | 0.9012 | | 0.0886 | 154.0 | 57750 | 0.4022 | 0.8993 | | 0.0839 | 155.0 | 58125 | 0.4182 | 0.8993 | | 0.0944 | 156.0 | 58500 | 0.4232 | 0.8985 | | 0.0864 | 157.0 | 58875 | 0.4235 | 0.8986 | | 0.0945 | 158.0 | 59250 | 0.4273 | 0.9005 | | 0.0791 | 159.0 | 59625 | 0.4271 | 0.8989 | | 0.0916 | 160.0 | 60000 | 0.4296 | 0.8994 | | 0.0918 | 161.0 | 60375 | 0.4203 | 0.9002 | | 0.0947 | 162.0 | 60750 | 0.4044 | 0.9023 | | 0.1048 | 163.0 | 61125 | 0.4092 | 0.9023 | | 0.1076 | 164.0 | 61500 | 0.4169 | 0.902 | | 0.0932 | 165.0 | 61875 | 0.4470 | 0.8992 | | 0.0614 | 166.0 | 62250 | 0.4403 | 0.8971 | | 0.1037 | 167.0 | 62625 | 0.4328 | 0.8996 | | 0.0983 | 168.0 | 63000 | 0.4227 | 0.9016 | | 0.0902 | 169.0 | 63375 | 0.4249 | 0.901 | | 0.0791 | 170.0 | 63750 | 0.4454 | 0.8996 | | 0.0909 | 171.0 | 64125 | 0.4213 | 0.9019 | | 0.0914 | 172.0 | 64500 | 0.4173 | 0.9042 | | 0.1065 | 173.0 | 64875 | 0.4292 | 0.8992 | | 0.0996 | 174.0 | 65250 | 0.4199 | 0.9034 | | 0.0949 | 175.0 | 65625 | 0.4369 | 0.8972 | | 0.0668 | 176.0 | 66000 | 0.4333 | 0.8993 | | 0.09 | 177.0 | 66375 | 0.4366 | 0.8998 | | 0.0931 | 178.0 | 66750 | 0.4459 | 0.9008 | | 0.0655 | 179.0 | 67125 | 0.4323 | 0.8998 | | 0.0709 | 180.0 | 67500 | 0.4277 | 0.9002 | | 0.0944 | 181.0 | 67875 | 0.4428 | 0.9011 | | 0.0506 | 182.0 | 68250 | 0.4304 | 0.9012 | | 0.0733 | 183.0 | 68625 | 0.4333 | 0.8993 | | 0.0864 | 184.0 | 69000 | 0.4618 | 0.8965 | | 0.0936 | 185.0 | 69375 | 0.4417 | 0.9005 | | 0.0872 | 186.0 | 69750 | 0.4424 | 0.899 | | 0.1057 | 187.0 | 70125 | 0.4253 | 0.9036 | | 0.0782 | 188.0 | 70500 | 0.4382 | 0.9004 | | 0.0837 | 189.0 | 70875 | 0.4474 | 0.8987 | | 0.0887 | 190.0 | 71250 | 0.4284 | 0.9048 | | 0.0644 | 191.0 | 71625 | 0.4488 | 0.9016 | | 0.0688 | 192.0 | 72000 | 0.4485 | 0.8993 | | 0.0814 | 193.0 | 72375 | 0.4329 | 0.9023 | | 0.076 | 194.0 | 72750 | 0.4330 | 0.9019 | | 0.1074 | 195.0 | 73125 | 0.4217 | 0.9012 | | 0.0673 | 196.0 | 73500 | 0.4384 | 0.9004 | | 0.0719 | 197.0 | 73875 | 0.4495 | 0.902 | | 0.0896 | 198.0 | 74250 | 0.4529 | 0.8996 | | 0.0907 | 199.0 | 74625 | 0.4422 | 0.9021 | | 0.0731 | 200.0 | 75000 | 0.4476 | 0.8992 | | 0.0939 | 201.0 | 75375 | 0.4318 | 0.9028 | | 0.0737 | 202.0 | 75750 | 0.4276 | 0.9039 | | 0.0813 | 203.0 | 76125 | 0.4491 | 0.8984 | | 0.0769 | 204.0 | 76500 | 0.4442 | 0.9024 | | 0.0802 | 205.0 | 76875 | 0.4481 | 0.9027 | | 0.0857 | 206.0 | 77250 | 0.4324 | 0.9009 | | 0.0764 | 207.0 | 77625 | 0.4464 | 0.9051 | | 0.0862 | 208.0 | 78000 | 0.4607 | 0.899 | | 0.0754 | 209.0 | 78375 | 0.4600 | 0.901 | | 0.0625 | 210.0 | 78750 | 0.4348 | 0.906 | | 0.0779 | 211.0 | 79125 | 0.4489 | 0.9057 | | 0.0666 | 212.0 | 79500 | 0.4530 | 0.8992 | | 0.0644 | 213.0 | 79875 | 0.4470 | 0.9019 | | 0.0819 | 214.0 | 80250 | 0.4517 | 0.9018 | | 0.0524 | 215.0 | 80625 | 0.4556 | 0.9008 | | 0.0847 | 216.0 | 81000 | 0.4529 | 0.9007 | | 0.0671 | 217.0 | 81375 | 0.4703 | 0.8978 | | 0.0804 | 218.0 | 81750 | 0.4798 | 0.8995 | | 0.065 | 219.0 | 82125 | 0.4528 | 0.9014 | | 0.0669 | 220.0 | 82500 | 0.4454 | 0.9069 | | 0.0705 | 221.0 | 82875 | 0.4272 | 0.9054 | | 0.0738 | 222.0 | 83250 | 0.4662 | 0.9015 | | 0.099 | 223.0 | 83625 | 0.4480 | 0.9011 | | 0.0866 | 224.0 | 84000 | 0.4577 | 0.9012 | | 0.0609 | 225.0 | 84375 | 0.4579 | 0.8996 | | 0.1066 | 226.0 | 84750 | 0.4378 | 0.9038 | | 0.0697 | 227.0 | 85125 | 0.4501 | 0.9029 | | 0.0722 | 228.0 | 85500 | 0.4610 | 0.9028 | | 0.0679 | 229.0 | 85875 | 0.4627 | 0.8998 | | 0.0729 | 230.0 | 86250 | 0.4477 | 0.9008 | | 0.0847 | 231.0 | 86625 | 0.4602 | 0.9011 | | 0.0626 | 232.0 | 87000 | 0.4569 | 0.9008 | | 0.0545 | 233.0 | 87375 | 0.4615 | 0.9023 | | 0.0725 | 234.0 | 87750 | 0.4563 | 0.9 | | 0.0824 | 235.0 | 88125 | 0.4574 | 0.9042 | | 0.0617 | 236.0 | 88500 | 0.4494 | 0.9056 | | 0.0675 | 237.0 | 88875 | 0.4713 | 0.9022 | | 0.0806 | 238.0 | 89250 | 0.4713 | 0.9027 | | 0.0612 | 239.0 | 89625 | 0.4484 | 0.9068 | | 0.0741 | 240.0 | 90000 | 0.4454 | 0.9032 | | 0.0788 | 241.0 | 90375 | 0.4582 | 0.9016 | | 0.052 | 242.0 | 90750 | 0.4514 | 0.9018 | | 0.0736 | 243.0 | 91125 | 0.4475 | 0.9072 | | 0.0651 | 244.0 | 91500 | 0.4669 | 0.903 | | 0.0642 | 245.0 | 91875 | 0.4558 | 0.902 | | 0.0577 | 246.0 | 92250 | 0.4756 | 0.9038 | | 0.0634 | 247.0 | 92625 | 0.4567 | 0.9031 | | 0.0716 | 248.0 | 93000 | 0.4607 | 0.9078 | | 0.0765 | 249.0 | 93375 | 0.4485 | 0.9087 | | 0.0575 | 250.0 | 93750 | 0.4720 | 0.9029 | | 0.0707 | 251.0 | 94125 | 0.4543 | 0.9049 | | 0.0713 | 252.0 | 94500 | 0.4745 | 0.9044 | | 0.0774 | 253.0 | 94875 | 0.4628 | 0.9039 | | 0.0524 | 254.0 | 95250 | 0.4626 | 0.9064 | | 0.0716 | 255.0 | 95625 | 0.4630 | 0.9039 | | 0.0607 | 256.0 | 96000 | 0.4606 | 0.9049 | | 0.0837 | 257.0 | 96375 | 0.4455 | 0.9086 | | 0.061 | 258.0 | 96750 | 0.4701 | 0.9032 | | 0.0536 | 259.0 | 97125 | 0.4752 | 0.9012 | | 0.0748 | 260.0 | 97500 | 0.4835 | 0.904 | | 0.0556 | 261.0 | 97875 | 0.4661 | 0.9055 | | 0.0403 | 262.0 | 98250 | 0.4558 | 0.9057 | | 0.0633 | 263.0 | 98625 | 0.4738 | 0.9042 | | 0.0765 | 264.0 | 99000 | 0.4572 | 0.9061 | | 0.0741 | 265.0 | 99375 | 0.4652 | 0.9072 | | 0.0642 | 266.0 | 99750 | 0.4638 | 0.9036 | | 0.0605 | 267.0 | 100125 | 0.4717 | 0.9026 | | 0.051 | 268.0 | 100500 | 0.4778 | 0.8997 | | 0.0615 | 269.0 | 100875 | 0.4597 | 0.9058 | | 0.0683 | 270.0 | 101250 | 0.4479 | 0.9089 | | 0.0489 | 271.0 | 101625 | 0.4705 | 0.9028 | | 0.0748 | 272.0 | 102000 | 0.4791 | 0.9058 | | 0.0722 | 273.0 | 102375 | 0.4709 | 0.9057 | | 0.0689 | 274.0 | 102750 | 0.4780 | 0.9022 | | 0.0589 | 275.0 | 103125 | 0.4508 | 0.9073 | | 0.0681 | 276.0 | 103500 | 0.4658 | 0.9053 | | 0.0565 | 277.0 | 103875 | 0.4541 | 0.9045 | | 0.0668 | 278.0 | 104250 | 0.4734 | 0.9033 | | 0.037 | 279.0 | 104625 | 0.4743 | 0.9074 | | 0.0508 | 280.0 | 105000 | 0.4579 | 0.9084 | | 0.052 | 281.0 | 105375 | 0.4767 | 0.905 | | 0.0628 | 282.0 | 105750 | 0.4637 | 0.9104 | | 0.0588 | 283.0 | 106125 | 0.4672 | 0.9083 | | 0.0539 | 284.0 | 106500 | 0.4690 | 0.9062 | | 0.0725 | 285.0 | 106875 | 0.4680 | 0.9037 | | 0.0694 | 286.0 | 107250 | 0.4990 | 0.902 | | 0.065 | 287.0 | 107625 | 0.4609 | 0.9062 | | 0.0583 | 288.0 | 108000 | 0.4600 | 0.908 | | 0.0577 | 289.0 | 108375 | 0.4666 | 0.9054 | | 0.0562 | 290.0 | 108750 | 0.4766 | 0.905 | | 0.056 | 291.0 | 109125 | 0.4772 | 0.9026 | | 0.065 | 292.0 | 109500 | 0.4682 | 0.9039 | | 0.0647 | 293.0 | 109875 | 0.4693 | 0.9075 | | 0.0522 | 294.0 | 110250 | 0.4686 | 0.9106 | | 0.0771 | 295.0 | 110625 | 0.4582 | 0.9061 | | 0.0672 | 296.0 | 111000 | 0.4686 | 0.9065 | | 0.0568 | 297.0 | 111375 | 0.4637 | 0.9078 | | 0.0337 | 298.0 | 111750 | 0.4644 | 0.9058 | | 0.057 | 299.0 | 112125 | 0.4758 | 0.9048 | | 0.0463 | 300.0 | 112500 | 0.4566 | 0.9073 | ### Framework versions - Transformers 4.40.1 - Pytorch 2.2.2 - Datasets 2.19.0 - Tokenizers 0.19.1