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Emotion-Image-Classification-V2

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

  • Loss: 1.2748
  • Accuracy: 0.5938

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: 7e-07
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1750

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 20 2.0722 0.1875
No log 2.0 40 2.0667 0.2062
No log 3.0 60 2.0633 0.1938
No log 4.0 80 2.0682 0.1938
No log 5.0 100 2.0627 0.2
No log 6.0 120 2.0618 0.2062
No log 7.0 140 2.0573 0.2062
No log 8.0 160 2.0589 0.2062
No log 9.0 180 2.0585 0.1938
No log 10.0 200 2.0576 0.1875
No log 11.0 220 2.0578 0.2125
No log 12.0 240 2.0498 0.2625
No log 13.0 260 2.0542 0.2062
No log 14.0 280 2.0534 0.2
No log 15.0 300 2.0474 0.2562
No log 16.0 320 2.0513 0.225
No log 17.0 340 2.0472 0.2062
No log 18.0 360 2.0465 0.2562
No log 19.0 380 2.0379 0.275
No log 20.0 400 2.0416 0.2375
No log 21.0 420 2.0442 0.2687
No log 22.0 440 2.0399 0.2313
No log 23.0 460 2.0358 0.2625
No log 24.0 480 2.0316 0.2437
2.0458 25.0 500 2.0314 0.2687
2.0458 26.0 520 2.0382 0.2437
2.0458 27.0 540 2.0246 0.275
2.0458 28.0 560 2.0211 0.3187
2.0458 29.0 580 2.0240 0.2625
2.0458 30.0 600 2.0198 0.2875
2.0458 31.0 620 2.0204 0.2625
2.0458 32.0 640 2.0210 0.275
2.0458 33.0 660 2.0046 0.3125
2.0458 34.0 680 2.0153 0.2625
2.0458 35.0 700 2.0098 0.2625
2.0458 36.0 720 2.0085 0.2812
2.0458 37.0 740 1.9978 0.3187
2.0458 38.0 760 1.9962 0.2938
2.0458 39.0 780 1.9955 0.3
2.0458 40.0 800 1.9923 0.3
2.0458 41.0 820 1.9913 0.3063
2.0458 42.0 840 1.9844 0.325
2.0458 43.0 860 1.9922 0.275
2.0458 44.0 880 1.9731 0.3187
2.0458 45.0 900 1.9833 0.3
2.0458 46.0 920 1.9763 0.3187
2.0458 47.0 940 1.9686 0.35
2.0458 48.0 960 1.9707 0.3187
2.0458 49.0 980 1.9631 0.3312
1.9677 50.0 1000 1.9561 0.2812
1.9677 51.0 1020 1.9527 0.3312
1.9677 52.0 1040 1.9447 0.3563
1.9677 53.0 1060 1.9542 0.35
1.9677 54.0 1080 1.9509 0.375
1.9677 55.0 1100 1.9378 0.3937
1.9677 56.0 1120 1.9431 0.3563
1.9677 57.0 1140 1.9397 0.3312
1.9677 58.0 1160 1.9322 0.4
1.9677 59.0 1180 1.9252 0.3688
1.9677 60.0 1200 1.9209 0.3063
1.9677 61.0 1220 1.9210 0.3563
1.9677 62.0 1240 1.9226 0.3688
1.9677 63.0 1260 1.9054 0.3688
1.9677 64.0 1280 1.9153 0.35
1.9677 65.0 1300 1.8993 0.3563
1.9677 66.0 1320 1.9008 0.375
1.9677 67.0 1340 1.9008 0.35
1.9677 68.0 1360 1.8866 0.3625
1.9677 69.0 1380 1.8771 0.3937
1.9677 70.0 1400 1.8758 0.4
1.9677 71.0 1420 1.8682 0.3937
1.9677 72.0 1440 1.8604 0.3688
1.9677 73.0 1460 1.8660 0.3937
1.9677 74.0 1480 1.8702 0.3375
1.8562 75.0 1500 1.8483 0.4313
1.8562 76.0 1520 1.8525 0.3875
1.8562 77.0 1540 1.8467 0.3937
1.8562 78.0 1560 1.8481 0.3812
1.8562 79.0 1580 1.8282 0.3812
1.8562 80.0 1600 1.8395 0.3875
1.8562 81.0 1620 1.8251 0.375
1.8562 82.0 1640 1.8215 0.4125
1.8562 83.0 1660 1.8179 0.3625
1.8562 84.0 1680 1.8130 0.4188
1.8562 85.0 1700 1.8066 0.4
1.8562 86.0 1720 1.7993 0.4062
1.8562 87.0 1740 1.7954 0.4188
1.8562 88.0 1760 1.7936 0.3937
1.8562 89.0 1780 1.7972 0.4188
1.8562 90.0 1800 1.7876 0.3937
1.8562 91.0 1820 1.7810 0.3937
1.8562 92.0 1840 1.7838 0.3937
1.8562 93.0 1860 1.7711 0.3812
1.8562 94.0 1880 1.7780 0.3688
1.8562 95.0 1900 1.7426 0.4062
1.8562 96.0 1920 1.7399 0.425
1.8562 97.0 1940 1.7561 0.375
1.8562 98.0 1960 1.7287 0.3937
1.8562 99.0 1980 1.7425 0.4437
1.7294 100.0 2000 1.7308 0.4188
1.7294 101.0 2020 1.7389 0.375
1.7294 102.0 2040 1.7249 0.4375
1.7294 103.0 2060 1.7297 0.4188
1.7294 104.0 2080 1.7361 0.3875
1.7294 105.0 2100 1.7188 0.4188
1.7294 106.0 2120 1.7181 0.4562
1.7294 107.0 2140 1.7044 0.425
1.7294 108.0 2160 1.7030 0.4188
1.7294 109.0 2180 1.7070 0.425
1.7294 110.0 2200 1.7006 0.4437
1.7294 111.0 2220 1.6862 0.4688
1.7294 112.0 2240 1.6881 0.4437
1.7294 113.0 2260 1.6798 0.45
1.7294 114.0 2280 1.6982 0.3937
1.7294 115.0 2300 1.6812 0.4375
1.7294 116.0 2320 1.6751 0.45
1.7294 117.0 2340 1.6849 0.45
1.7294 118.0 2360 1.6690 0.4375
1.7294 119.0 2380 1.6583 0.4688
1.7294 120.0 2400 1.6666 0.4375
1.7294 121.0 2420 1.6651 0.45
1.7294 122.0 2440 1.6477 0.4688
1.7294 123.0 2460 1.6520 0.475
1.7294 124.0 2480 1.6642 0.4125
1.6198 125.0 2500 1.6633 0.475
1.6198 126.0 2520 1.6443 0.4375
1.6198 127.0 2540 1.6398 0.4813
1.6198 128.0 2560 1.6516 0.4437
1.6198 129.0 2580 1.6496 0.4562
1.6198 130.0 2600 1.6342 0.4625
1.6198 131.0 2620 1.6330 0.4437
1.6198 132.0 2640 1.6341 0.4625
1.6198 133.0 2660 1.6167 0.475
1.6198 134.0 2680 1.6270 0.4562
1.6198 135.0 2700 1.6322 0.4562
1.6198 136.0 2720 1.6252 0.4188
1.6198 137.0 2740 1.6045 0.4562
1.6198 138.0 2760 1.6107 0.5
1.6198 139.0 2780 1.6170 0.45
1.6198 140.0 2800 1.6067 0.4813
1.6198 141.0 2820 1.6116 0.4437
1.6198 142.0 2840 1.5962 0.4813
1.6198 143.0 2860 1.6096 0.425
1.6198 144.0 2880 1.6051 0.4562
1.6198 145.0 2900 1.5939 0.525
1.6198 146.0 2920 1.5871 0.5062
1.6198 147.0 2940 1.5917 0.4688
1.6198 148.0 2960 1.5911 0.4938
1.6198 149.0 2980 1.5950 0.4437
1.5343 150.0 3000 1.5974 0.4625
1.5343 151.0 3020 1.5713 0.4813
1.5343 152.0 3040 1.5637 0.5437
1.5343 153.0 3060 1.5830 0.4688
1.5343 154.0 3080 1.5770 0.4938
1.5343 155.0 3100 1.5800 0.5188
1.5343 156.0 3120 1.5782 0.4625
1.5343 157.0 3140 1.5769 0.4562
1.5343 158.0 3160 1.5751 0.5
1.5343 159.0 3180 1.5739 0.4938
1.5343 160.0 3200 1.5555 0.5
1.5343 161.0 3220 1.5561 0.475
1.5343 162.0 3240 1.5521 0.4938
1.5343 163.0 3260 1.5670 0.4688
1.5343 164.0 3280 1.5621 0.475
1.5343 165.0 3300 1.5622 0.4813
1.5343 166.0 3320 1.5497 0.4562
1.5343 167.0 3340 1.5535 0.4813
1.5343 168.0 3360 1.5526 0.4875
1.5343 169.0 3380 1.5301 0.5
1.5343 170.0 3400 1.5487 0.4813
1.5343 171.0 3420 1.5489 0.4625
1.5343 172.0 3440 1.5456 0.5
1.5343 173.0 3460 1.5355 0.5
1.5343 174.0 3480 1.5306 0.5
1.4643 175.0 3500 1.5436 0.4875
1.4643 176.0 3520 1.5241 0.4875
1.4643 177.0 3540 1.5293 0.475
1.4643 178.0 3560 1.5282 0.475
1.4643 179.0 3580 1.5350 0.4813
1.4643 180.0 3600 1.5207 0.4875
1.4643 181.0 3620 1.5274 0.4875
1.4643 182.0 3640 1.5239 0.5
1.4643 183.0 3660 1.5324 0.45
1.4643 184.0 3680 1.5137 0.4813
1.4643 185.0 3700 1.5265 0.4938
1.4643 186.0 3720 1.4986 0.5125
1.4643 187.0 3740 1.5102 0.525
1.4643 188.0 3760 1.5141 0.5062
1.4643 189.0 3780 1.4955 0.5125
1.4643 190.0 3800 1.5155 0.5125
1.4643 191.0 3820 1.5076 0.4938
1.4643 192.0 3840 1.5114 0.4875
1.4643 193.0 3860 1.5295 0.4938
1.4643 194.0 3880 1.5180 0.4688
1.4643 195.0 3900 1.5103 0.4875
1.4643 196.0 3920 1.5092 0.55
1.4643 197.0 3940 1.5009 0.5062
1.4643 198.0 3960 1.5320 0.475
1.4643 199.0 3980 1.4854 0.5375
1.4007 200.0 4000 1.5029 0.4875
1.4007 201.0 4020 1.4928 0.5125
1.4007 202.0 4040 1.4851 0.4875
1.4007 203.0 4060 1.4960 0.4938
1.4007 204.0 4080 1.4979 0.4437
1.4007 205.0 4100 1.4936 0.4813
1.4007 206.0 4120 1.4684 0.55
1.4007 207.0 4140 1.4656 0.525
1.4007 208.0 4160 1.4731 0.4813
1.4007 209.0 4180 1.4858 0.5312
1.4007 210.0 4200 1.4893 0.5062
1.4007 211.0 4220 1.4875 0.4938
1.4007 212.0 4240 1.4881 0.5375
1.4007 213.0 4260 1.4910 0.4813
1.4007 214.0 4280 1.4570 0.5062
1.4007 215.0 4300 1.4839 0.4938
1.4007 216.0 4320 1.4709 0.4688
1.4007 217.0 4340 1.4711 0.4875
1.4007 218.0 4360 1.4992 0.475
1.4007 219.0 4380 1.4701 0.5125
1.4007 220.0 4400 1.4727 0.4875
1.4007 221.0 4420 1.4632 0.5125
1.4007 222.0 4440 1.4602 0.475
1.4007 223.0 4460 1.4510 0.4938
1.4007 224.0 4480 1.4786 0.4562
1.3391 225.0 4500 1.4700 0.5125
1.3391 226.0 4520 1.4812 0.4813
1.3391 227.0 4540 1.4379 0.5375
1.3391 228.0 4560 1.4426 0.4938
1.3391 229.0 4580 1.4638 0.4938
1.3391 230.0 4600 1.4708 0.475
1.3391 231.0 4620 1.4293 0.55
1.3391 232.0 4640 1.4704 0.4813
1.3391 233.0 4660 1.4561 0.4938
1.3391 234.0 4680 1.4302 0.525
1.3391 235.0 4700 1.4806 0.5125
1.3391 236.0 4720 1.4402 0.4875
1.3391 237.0 4740 1.4356 0.5188
1.3391 238.0 4760 1.4475 0.4688
1.3391 239.0 4780 1.4304 0.525
1.3391 240.0 4800 1.4217 0.525
1.3391 241.0 4820 1.4536 0.5
1.3391 242.0 4840 1.4512 0.4938
1.3391 243.0 4860 1.4549 0.5312
1.3391 244.0 4880 1.4460 0.5062
1.3391 245.0 4900 1.4361 0.5062
1.3391 246.0 4920 1.4455 0.4688
1.3391 247.0 4940 1.4588 0.525
1.3391 248.0 4960 1.4207 0.5312
1.3391 249.0 4980 1.4436 0.5312
1.2821 250.0 5000 1.4417 0.5062
1.2821 251.0 5020 1.4264 0.5125
1.2821 252.0 5040 1.4495 0.4875
1.2821 253.0 5060 1.4312 0.5375
1.2821 254.0 5080 1.4334 0.5062
1.2821 255.0 5100 1.4420 0.4875
1.2821 256.0 5120 1.4313 0.5188
1.2821 257.0 5140 1.4239 0.5437
1.2821 258.0 5160 1.4457 0.4562
1.2821 259.0 5180 1.4051 0.5188
1.2821 260.0 5200 1.4374 0.5062
1.2821 261.0 5220 1.4089 0.5188
1.2821 262.0 5240 1.4430 0.4875
1.2821 263.0 5260 1.4066 0.5188
1.2821 264.0 5280 1.4144 0.5375
1.2821 265.0 5300 1.4440 0.5
1.2821 266.0 5320 1.4262 0.4813
1.2821 267.0 5340 1.4134 0.4938
1.2821 268.0 5360 1.4234 0.4938
1.2821 269.0 5380 1.4086 0.525
1.2821 270.0 5400 1.4297 0.4938
1.2821 271.0 5420 1.3996 0.525
1.2821 272.0 5440 1.4114 0.5125
1.2821 273.0 5460 1.4374 0.4688
1.2821 274.0 5480 1.4199 0.5062
1.2306 275.0 5500 1.3729 0.5062
1.2306 276.0 5520 1.3774 0.5375
1.2306 277.0 5540 1.4205 0.5312
1.2306 278.0 5560 1.3882 0.5
1.2306 279.0 5580 1.3965 0.5062
1.2306 280.0 5600 1.4020 0.5188
1.2306 281.0 5620 1.4054 0.5312
1.2306 282.0 5640 1.4037 0.5188
1.2306 283.0 5660 1.4333 0.4813
1.2306 284.0 5680 1.3888 0.5188
1.2306 285.0 5700 1.3991 0.4813
1.2306 286.0 5720 1.3864 0.5125
1.2306 287.0 5740 1.3277 0.575
1.2306 288.0 5760 1.4280 0.5
1.2306 289.0 5780 1.3820 0.5062
1.2306 290.0 5800 1.4017 0.5188
1.2306 291.0 5820 1.4204 0.4813
1.2306 292.0 5840 1.4218 0.5125
1.2306 293.0 5860 1.3961 0.4688
1.2306 294.0 5880 1.3957 0.5062
1.2306 295.0 5900 1.4075 0.5188
1.2306 296.0 5920 1.4089 0.475
1.2306 297.0 5940 1.3727 0.5375
1.2306 298.0 5960 1.3624 0.525
1.2306 299.0 5980 1.4073 0.5062
1.1758 300.0 6000 1.4273 0.5
1.1758 301.0 6020 1.3907 0.5
1.1758 302.0 6040 1.3874 0.5188
1.1758 303.0 6060 1.4323 0.4938
1.1758 304.0 6080 1.3582 0.5437
1.1758 305.0 6100 1.3618 0.5312
1.1758 306.0 6120 1.3544 0.5188
1.1758 307.0 6140 1.3816 0.5375
1.1758 308.0 6160 1.3749 0.4938
1.1758 309.0 6180 1.3924 0.4938
1.1758 310.0 6200 1.3781 0.525
1.1758 311.0 6220 1.3879 0.5125
1.1758 312.0 6240 1.3739 0.55
1.1758 313.0 6260 1.3662 0.5188
1.1758 314.0 6280 1.3764 0.575
1.1758 315.0 6300 1.3922 0.4938
1.1758 316.0 6320 1.3977 0.4625
1.1758 317.0 6340 1.4194 0.5
1.1758 318.0 6360 1.3465 0.5125
1.1758 319.0 6380 1.3564 0.4875
1.1758 320.0 6400 1.3582 0.5437
1.1758 321.0 6420 1.3829 0.5188
1.1758 322.0 6440 1.3504 0.5125
1.1758 323.0 6460 1.3658 0.4875
1.1758 324.0 6480 1.4254 0.45
1.1256 325.0 6500 1.4025 0.4875
1.1256 326.0 6520 1.3431 0.5125
1.1256 327.0 6540 1.3613 0.5
1.1256 328.0 6560 1.3376 0.55
1.1256 329.0 6580 1.3730 0.5
1.1256 330.0 6600 1.3936 0.5062
1.1256 331.0 6620 1.3716 0.5125
1.1256 332.0 6640 1.4044 0.475
1.1256 333.0 6660 1.3880 0.4625
1.1256 334.0 6680 1.3580 0.4688
1.1256 335.0 6700 1.3459 0.5437
1.1256 336.0 6720 1.3868 0.5312
1.1256 337.0 6740 1.3766 0.475
1.1256 338.0 6760 1.3843 0.4625
1.1256 339.0 6780 1.3802 0.4562
1.1256 340.0 6800 1.3698 0.4938
1.1256 341.0 6820 1.3657 0.4813
1.1256 342.0 6840 1.3622 0.5437
1.1256 343.0 6860 1.4055 0.4562
1.1256 344.0 6880 1.3406 0.5062
1.1256 345.0 6900 1.3517 0.5312
1.1256 346.0 6920 1.4012 0.4688
1.1256 347.0 6940 1.3131 0.5563
1.1256 348.0 6960 1.3677 0.4813
1.1256 349.0 6980 1.3656 0.5062
1.0749 350.0 7000 1.3582 0.4813
1.0749 351.0 7020 1.3342 0.5125
1.0749 352.0 7040 1.3413 0.5188
1.0749 353.0 7060 1.3541 0.5062
1.0749 354.0 7080 1.3551 0.5062
1.0749 355.0 7100 1.3364 0.5625
1.0749 356.0 7120 1.3885 0.4625
1.0749 357.0 7140 1.3327 0.5062
1.0749 358.0 7160 1.3570 0.5
1.0749 359.0 7180 1.3642 0.4875
1.0749 360.0 7200 1.3467 0.4813
1.0749 361.0 7220 1.3882 0.5062
1.0749 362.0 7240 1.3534 0.4875
1.0749 363.0 7260 1.3570 0.4688
1.0749 364.0 7280 1.3150 0.5437
1.0749 365.0 7300 1.3483 0.4688
1.0749 366.0 7320 1.3294 0.525
1.0749 367.0 7340 1.3453 0.475
1.0749 368.0 7360 1.3518 0.4625
1.0749 369.0 7380 1.3524 0.4875
1.0749 370.0 7400 1.3627 0.4625
1.0749 371.0 7420 1.2998 0.5188
1.0749 372.0 7440 1.3362 0.5125
1.0749 373.0 7460 1.3290 0.4938
1.0749 374.0 7480 1.3158 0.5312
1.0301 375.0 7500 1.3241 0.5375
1.0301 376.0 7520 1.3518 0.5062
1.0301 377.0 7540 1.3748 0.4938
1.0301 378.0 7560 1.3627 0.4688
1.0301 379.0 7580 1.2971 0.525
1.0301 380.0 7600 1.3200 0.525
1.0301 381.0 7620 1.3200 0.5062
1.0301 382.0 7640 1.3304 0.475
1.0301 383.0 7660 1.3425 0.5188
1.0301 384.0 7680 1.3378 0.5188
1.0301 385.0 7700 1.3380 0.525
1.0301 386.0 7720 1.3159 0.5125
1.0301 387.0 7740 1.3315 0.5312
1.0301 388.0 7760 1.3318 0.5
1.0301 389.0 7780 1.3150 0.5188
1.0301 390.0 7800 1.3109 0.4938
1.0301 391.0 7820 1.3457 0.4938
1.0301 392.0 7840 1.3507 0.55
1.0301 393.0 7860 1.3043 0.5125
1.0301 394.0 7880 1.2937 0.525
1.0301 395.0 7900 1.3179 0.5125
1.0301 396.0 7920 1.3434 0.4375
1.0301 397.0 7940 1.3440 0.5125
1.0301 398.0 7960 1.3630 0.5125
1.0301 399.0 7980 1.2913 0.5687
0.9833 400.0 8000 1.3338 0.5188
0.9833 401.0 8020 1.3367 0.5188
0.9833 402.0 8040 1.3656 0.5
0.9833 403.0 8060 1.3377 0.5312
0.9833 404.0 8080 1.3387 0.4688
0.9833 405.0 8100 1.3061 0.5125
0.9833 406.0 8120 1.3082 0.5
0.9833 407.0 8140 1.3284 0.4938
0.9833 408.0 8160 1.3212 0.5312
0.9833 409.0 8180 1.2809 0.5188
0.9833 410.0 8200 1.3295 0.525
0.9833 411.0 8220 1.3432 0.5
0.9833 412.0 8240 1.3173 0.5188
0.9833 413.0 8260 1.3131 0.525
0.9833 414.0 8280 1.2957 0.5312
0.9833 415.0 8300 1.3358 0.4813
0.9833 416.0 8320 1.3635 0.4562
0.9833 417.0 8340 1.3743 0.475
0.9833 418.0 8360 1.3320 0.5437
0.9833 419.0 8380 1.2942 0.5
0.9833 420.0 8400 1.2994 0.5
0.9833 421.0 8420 1.3073 0.4938
0.9833 422.0 8440 1.3108 0.5188
0.9833 423.0 8460 1.3514 0.5125
0.9833 424.0 8480 1.3062 0.4875
0.944 425.0 8500 1.3154 0.5062
0.944 426.0 8520 1.3105 0.5125
0.944 427.0 8540 1.3566 0.4938
0.944 428.0 8560 1.3100 0.5125
0.944 429.0 8580 1.3342 0.475
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0.2666 1684.0 33680 1.3928 0.5125
0.2666 1685.0 33700 1.4427 0.5062
0.2666 1686.0 33720 1.3572 0.55
0.2666 1687.0 33740 1.4141 0.5062
0.2666 1688.0 33760 1.4079 0.5
0.2666 1689.0 33780 1.3888 0.4938
0.2666 1690.0 33800 1.4878 0.4625
0.2666 1691.0 33820 1.4618 0.4938
0.2666 1692.0 33840 1.5789 0.475
0.2666 1693.0 33860 1.4814 0.4562
0.2666 1694.0 33880 1.4810 0.5437
0.2666 1695.0 33900 1.5088 0.4875
0.2666 1696.0 33920 1.4263 0.5062
0.2666 1697.0 33940 1.5221 0.4437
0.2666 1698.0 33960 1.3571 0.5125
0.2666 1699.0 33980 1.3727 0.5437
0.2654 1700.0 34000 1.4273 0.5062
0.2654 1701.0 34020 1.5031 0.4688
0.2654 1702.0 34040 1.5287 0.4938
0.2654 1703.0 34060 1.4249 0.4875
0.2654 1704.0 34080 1.4168 0.5125
0.2654 1705.0 34100 1.4947 0.475
0.2654 1706.0 34120 1.5093 0.4813
0.2654 1707.0 34140 1.4478 0.525
0.2654 1708.0 34160 1.3681 0.5375
0.2654 1709.0 34180 1.4784 0.475
0.2654 1710.0 34200 1.4736 0.4813
0.2654 1711.0 34220 1.4512 0.5125
0.2654 1712.0 34240 1.4901 0.5125
0.2654 1713.0 34260 1.3999 0.5188
0.2654 1714.0 34280 1.5042 0.4875
0.2654 1715.0 34300 1.4943 0.475
0.2654 1716.0 34320 1.4266 0.5
0.2654 1717.0 34340 1.4092 0.4938
0.2654 1718.0 34360 1.4771 0.5188
0.2654 1719.0 34380 1.4573 0.5
0.2654 1720.0 34400 1.4646 0.5
0.2654 1721.0 34420 1.4718 0.5188
0.2654 1722.0 34440 1.3844 0.4938
0.2654 1723.0 34460 1.5301 0.4813
0.2654 1724.0 34480 1.6132 0.4375
0.2679 1725.0 34500 1.4244 0.4938
0.2679 1726.0 34520 1.4837 0.5188
0.2679 1727.0 34540 1.5501 0.4875
0.2679 1728.0 34560 1.4302 0.5125
0.2679 1729.0 34580 1.3363 0.5563
0.2679 1730.0 34600 1.5036 0.475
0.2679 1731.0 34620 1.4386 0.4875
0.2679 1732.0 34640 1.4130 0.4875
0.2679 1733.0 34660 1.4120 0.5062
0.2679 1734.0 34680 1.5886 0.4375
0.2679 1735.0 34700 1.3803 0.5188
0.2679 1736.0 34720 1.4227 0.4813
0.2679 1737.0 34740 1.4488 0.4938
0.2679 1738.0 34760 1.4735 0.5
0.2679 1739.0 34780 1.5467 0.4688
0.2679 1740.0 34800 1.4766 0.4938
0.2679 1741.0 34820 1.4444 0.5062
0.2679 1742.0 34840 1.3931 0.5437
0.2679 1743.0 34860 1.4914 0.4813
0.2679 1744.0 34880 1.4425 0.5125
0.2679 1745.0 34900 1.4441 0.4938
0.2679 1746.0 34920 1.4857 0.4813
0.2679 1747.0 34940 1.4785 0.5062
0.2679 1748.0 34960 1.4310 0.5375
0.2679 1749.0 34980 1.5680 0.4562
0.2638 1750.0 35000 1.3888 0.5062

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.3.0
  • Datasets 2.15.0
  • Tokenizers 0.15.1
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