segformer-b1-improved
This model is a fine-tuned version of nvidia/mit-b1 on the samitizerxu/kelp_data dataset. It achieves the following results on the evaluation set:
- Iou Kelp: 0.0
- Loss: 0.0024
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 40
Training results
Training Loss | Epoch | Step | Iou Kelp | Validation Loss |
---|---|---|---|---|
0.0769 | 0.11 | 30 | 0.0 | 0.0650 |
0.075 | 0.21 | 60 | 0.0 | 0.0710 |
0.0701 | 0.32 | 90 | 0.0 | 0.0738 |
0.0704 | 0.43 | 120 | 0.0 | 0.0710 |
0.0669 | 0.53 | 150 | 0.0 | 0.0699 |
0.0694 | 0.64 | 180 | 0.0 | 0.0679 |
0.0635 | 0.74 | 210 | 0.0 | 0.0676 |
0.0584 | 0.85 | 240 | 0.0 | 0.0647 |
0.0552 | 0.96 | 270 | 0.0 | 0.0631 |
0.0525 | 1.06 | 300 | 0.0 | 0.0592 |
0.052 | 1.17 | 330 | 0.0 | 0.0540 |
0.0449 | 1.28 | 360 | 0.0 | 0.0517 |
0.0443 | 1.38 | 390 | 0.0 | 0.0459 |
0.0364 | 1.49 | 420 | 0.0 | 0.0422 |
0.0361 | 1.6 | 450 | 0.0 | 0.0374 |
0.0339 | 1.7 | 480 | 0.0 | 0.0352 |
0.0307 | 1.81 | 510 | 0.0 | 0.0319 |
0.0283 | 1.91 | 540 | 0.0 | 0.0283 |
0.0302 | 2.02 | 570 | 0.0 | 0.0275 |
0.0277 | 2.13 | 600 | 0.0 | 0.0252 |
0.0231 | 2.23 | 630 | 0.0 | 0.0223 |
0.0261 | 2.34 | 660 | 0.0 | 0.0219 |
0.025 | 2.45 | 690 | 0.0 | 0.0183 |
0.0262 | 2.55 | 720 | 0.0 | 0.0163 |
0.0182 | 2.66 | 750 | 0.0 | 0.0175 |
0.0186 | 2.77 | 780 | 0.0 | 0.0147 |
0.0156 | 2.87 | 810 | 0.0 | 0.0151 |
0.0171 | 2.98 | 840 | 0.0 | 0.0148 |
0.0164 | 3.09 | 870 | 0.0 | 0.0161 |
0.0155 | 3.19 | 900 | 0.0 | 0.0139 |
0.0127 | 3.3 | 930 | 0.0 | 0.0126 |
0.0111 | 3.4 | 960 | 0.0 | 0.0105 |
0.0139 | 3.51 | 990 | 0.0 | 0.0103 |
0.0113 | 3.62 | 1020 | 0.0 | 0.0096 |
0.0093 | 3.72 | 1050 | 0.0 | 0.0088 |
0.0099 | 3.83 | 1080 | 0.0 | 0.0096 |
0.0092 | 3.94 | 1110 | 0.0 | 0.0096 |
0.0095 | 4.04 | 1140 | 0.0 | 0.0083 |
0.0113 | 4.15 | 1170 | 0.0 | 0.0086 |
0.0084 | 4.26 | 1200 | 0.0 | 0.0073 |
0.0066 | 4.36 | 1230 | 0.0 | 0.0081 |
0.01 | 4.47 | 1260 | 0.0 | 0.0074 |
0.0062 | 4.57 | 1290 | 0.0 | 0.0067 |
0.0053 | 4.68 | 1320 | 0.0 | 0.0065 |
0.0073 | 4.79 | 1350 | 0.0 | 0.0058 |
0.0069 | 4.89 | 1380 | 0.0 | 0.0065 |
0.0063 | 5.0 | 1410 | 0.0 | 0.0060 |
0.0062 | 5.11 | 1440 | 0.0 | 0.0055 |
0.0069 | 5.21 | 1470 | 0.0 | 0.0058 |
0.0049 | 5.32 | 1500 | 0.0 | 0.0055 |
0.0047 | 5.43 | 1530 | 0.0 | 0.0050 |
0.0092 | 5.53 | 1560 | 0.0 | 0.0054 |
0.0041 | 5.64 | 1590 | 0.0 | 0.0049 |
0.0042 | 5.74 | 1620 | 0.0 | 0.0049 |
0.005 | 5.85 | 1650 | 0.0 | 0.0044 |
0.0036 | 5.96 | 1680 | 0.0 | 0.0047 |
0.0059 | 6.06 | 1710 | 0.0 | 0.0048 |
0.0078 | 6.17 | 1740 | 0.0 | 0.0045 |
0.0036 | 6.28 | 1770 | 0.0 | 0.0042 |
0.004 | 6.38 | 1800 | 0.0 | 0.0039 |
0.0038 | 6.49 | 1830 | 0.0 | 0.0041 |
0.0038 | 6.6 | 1860 | 0.0 | 0.0042 |
0.0028 | 6.7 | 1890 | 0.0 | 0.0042 |
0.0036 | 6.81 | 1920 | 0.0 | 0.0036 |
0.0032 | 6.91 | 1950 | 0.0 | 0.0037 |
0.0029 | 7.02 | 1980 | 0.0 | 0.0035 |
0.0022 | 7.13 | 2010 | 0.0 | 0.0036 |
0.0025 | 7.23 | 2040 | 0.0 | 0.0036 |
0.0024 | 7.34 | 2070 | 0.0 | 0.0035 |
0.0022 | 7.45 | 2100 | 0.0 | 0.0032 |
0.0031 | 7.55 | 2130 | 0.0 | 0.0033 |
0.0028 | 7.66 | 2160 | 0.0 | 0.0031 |
0.0022 | 7.77 | 2190 | 0.0 | 0.0032 |
0.0023 | 7.87 | 2220 | 0.0 | 0.0034 |
0.0021 | 7.98 | 2250 | 0.0 | 0.0033 |
0.0018 | 8.09 | 2280 | 0.0 | 0.0031 |
0.0021 | 8.19 | 2310 | 0.0 | 0.0032 |
0.0038 | 8.3 | 2340 | 0.0 | 0.0030 |
0.0016 | 8.4 | 2370 | 0.0 | 0.0031 |
0.0066 | 8.51 | 2400 | 0.0 | 0.0029 |
0.0015 | 8.62 | 2430 | 0.0 | 0.0030 |
0.0022 | 8.72 | 2460 | 0.0 | 0.0028 |
0.0022 | 8.83 | 2490 | 0.0 | 0.0028 |
0.0012 | 8.94 | 2520 | 0.0 | 0.0027 |
0.0017 | 9.04 | 2550 | 0.0 | 0.0028 |
0.0019 | 9.15 | 2580 | 0.0 | 0.0027 |
0.0014 | 9.26 | 2610 | 0.0 | 0.0028 |
0.0014 | 9.36 | 2640 | 0.0 | 0.0028 |
0.0013 | 9.47 | 2670 | 0.0 | 0.0027 |
0.0014 | 9.57 | 2700 | 0.0 | 0.0027 |
0.0015 | 9.68 | 2730 | 0.0 | 0.0028 |
0.0014 | 9.79 | 2760 | 0.0 | 0.0027 |
0.001 | 9.89 | 2790 | 0.0 | 0.0026 |
0.0013 | 10.0 | 2820 | 0.0 | 0.0026 |
0.0014 | 10.11 | 2850 | 0.0 | 0.0026 |
0.0014 | 10.21 | 2880 | 0.0 | 0.0026 |
0.0031 | 10.32 | 2910 | 0.0 | 0.0025 |
0.0013 | 10.43 | 2940 | 0.0 | 0.0026 |
0.0012 | 10.53 | 2970 | 0.0 | 0.0026 |
0.0011 | 10.64 | 3000 | 0.0 | 0.0025 |
0.0009 | 10.74 | 3030 | 0.0 | 0.0025 |
0.0016 | 10.85 | 3060 | 0.0 | 0.0025 |
0.0014 | 10.96 | 3090 | 0.0 | 0.0025 |
0.0008 | 11.06 | 3120 | 0.0 | 0.0025 |
0.0008 | 11.17 | 3150 | 0.0 | 0.0025 |
0.0019 | 11.28 | 3180 | 0.0 | 0.0026 |
0.001 | 11.38 | 3210 | 0.0 | 0.0025 |
0.0009 | 11.49 | 3240 | 0.0 | 0.0025 |
0.0014 | 11.6 | 3270 | 0.0 | 0.0026 |
0.0014 | 11.7 | 3300 | 0.0 | 0.0024 |
0.0008 | 11.81 | 3330 | 0.0 | 0.0025 |
0.001 | 11.91 | 3360 | 0.0 | 0.0024 |
0.0012 | 12.02 | 3390 | 0.0 | 0.0024 |
0.0009 | 12.13 | 3420 | 0.0 | 0.0024 |
0.0007 | 12.23 | 3450 | 0.0 | 0.0025 |
0.0011 | 12.34 | 3480 | 0.0 | 0.0024 |
0.0012 | 12.45 | 3510 | 0.0 | 0.0023 |
0.0008 | 12.55 | 3540 | 0.0 | 0.0023 |
0.0005 | 12.66 | 3570 | 0.0 | 0.0024 |
0.0007 | 12.77 | 3600 | 0.0 | 0.0023 |
0.0006 | 12.87 | 3630 | 0.0 | 0.0024 |
0.0006 | 12.98 | 3660 | 0.0 | 0.0024 |
0.0014 | 13.09 | 3690 | 0.0 | 0.0025 |
0.0008 | 13.19 | 3720 | 0.0 | 0.0023 |
0.0007 | 13.3 | 3750 | 0.0 | 0.0022 |
0.0005 | 13.4 | 3780 | 0.0 | 0.0022 |
0.0006 | 13.51 | 3810 | 0.0 | 0.0022 |
0.0005 | 13.62 | 3840 | 0.0 | 0.0023 |
0.0007 | 13.72 | 3870 | 0.0 | 0.0022 |
0.0009 | 13.83 | 3900 | 0.0 | 0.0023 |
0.0005 | 13.94 | 3930 | 0.0 | 0.0022 |
0.0006 | 14.04 | 3960 | 0.0 | 0.0023 |
0.0005 | 14.15 | 3990 | 0.0 | 0.0023 |
0.0005 | 14.26 | 4020 | 0.0 | 0.0023 |
0.0008 | 14.36 | 4050 | 0.0 | 0.0022 |
0.0006 | 14.47 | 4080 | 0.0 | 0.0022 |
0.001 | 14.57 | 4110 | 0.0 | 0.0022 |
0.0004 | 14.68 | 4140 | 0.0 | 0.0021 |
0.0005 | 14.79 | 4170 | 0.0 | 0.0022 |
0.0006 | 14.89 | 4200 | 0.0 | 0.0023 |
0.0006 | 15.0 | 4230 | 0.0 | 0.0023 |
0.0007 | 15.11 | 4260 | 0.0 | 0.0022 |
0.0006 | 15.21 | 4290 | 0.0 | 0.0022 |
0.0005 | 15.32 | 4320 | 0.0 | 0.0021 |
0.0004 | 15.43 | 4350 | 0.0 | 0.0021 |
0.0008 | 15.53 | 4380 | 0.0 | 0.0021 |
0.0005 | 15.64 | 4410 | 0.0 | 0.0021 |
0.0005 | 15.74 | 4440 | 0.0 | 0.0022 |
0.0003 | 15.85 | 4470 | 0.0 | 0.0021 |
0.0005 | 15.96 | 4500 | 0.0 | 0.0021 |
0.0004 | 16.06 | 4530 | 0.0 | 0.0023 |
0.0004 | 16.17 | 4560 | 0.0 | 0.0022 |
0.0004 | 16.28 | 4590 | 0.0 | 0.0021 |
0.0005 | 16.38 | 4620 | 0.0 | 0.0020 |
0.0007 | 16.49 | 4650 | 0.0 | 0.0022 |
0.0005 | 16.6 | 4680 | 0.0 | 0.0021 |
0.0011 | 16.7 | 4710 | 0.0 | 0.0020 |
0.0005 | 16.81 | 4740 | 0.0 | 0.0020 |
0.0005 | 16.91 | 4770 | 0.0 | 0.0022 |
0.0004 | 17.02 | 4800 | 0.0 | 0.0021 |
0.0004 | 17.13 | 4830 | 0.0 | 0.0022 |
0.0004 | 17.23 | 4860 | 0.0 | 0.0021 |
0.0007 | 17.34 | 4890 | 0.0 | 0.0021 |
0.0006 | 17.45 | 4920 | 0.0 | 0.0021 |
0.0006 | 17.55 | 4950 | 0.0 | 0.0021 |
0.001 | 17.66 | 4980 | 0.0 | 0.0021 |
0.0003 | 17.77 | 5010 | 0.0 | 0.0020 |
0.0002 | 17.87 | 5040 | 0.0 | 0.0021 |
0.0005 | 17.98 | 5070 | 0.0 | 0.0021 |
0.0005 | 18.09 | 5100 | 0.0 | 0.0021 |
0.0004 | 18.19 | 5130 | 0.0 | 0.0021 |
0.0008 | 18.3 | 5160 | 0.0 | 0.0023 |
0.0004 | 18.4 | 5190 | 0.0 | 0.0020 |
0.0002 | 18.51 | 5220 | 0.0 | 0.0021 |
0.0003 | 18.62 | 5250 | 0.0 | 0.0020 |
0.0006 | 18.72 | 5280 | 0.0 | 0.0021 |
0.0004 | 18.83 | 5310 | 0.0 | 0.0021 |
0.0005 | 18.94 | 5340 | 0.0 | 0.0020 |
0.0004 | 19.04 | 5370 | 0.0 | 0.0020 |
0.0007 | 19.15 | 5400 | 0.0 | 0.0020 |
0.0005 | 19.26 | 5430 | 0.0 | 0.0021 |
0.0006 | 19.36 | 5460 | 0.0 | 0.0020 |
0.0004 | 19.47 | 5490 | 0.0 | 0.0021 |
0.0004 | 19.57 | 5520 | 0.0 | 0.0021 |
0.0002 | 19.68 | 5550 | 0.0 | 0.0021 |
0.0008 | 19.79 | 5580 | 0.0 | 0.0020 |
0.0006 | 19.89 | 5610 | 0.0 | 0.0024 |
0.0005 | 20.0 | 5640 | 0.0 | 0.0022 |
0.0002 | 20.11 | 5670 | 0.0 | 0.0021 |
0.0002 | 20.21 | 5700 | 0.0 | 0.0022 |
0.0002 | 20.32 | 5730 | 0.0 | 0.0022 |
0.0004 | 20.43 | 5760 | 0.0 | 0.0022 |
0.0002 | 20.53 | 5790 | 0.0 | 0.0023 |
0.0008 | 20.64 | 5820 | 0.0 | 0.0022 |
0.0002 | 20.74 | 5850 | 0.0 | 0.0023 |
0.0002 | 20.85 | 5880 | 0.0 | 0.0023 |
0.0021 | 20.96 | 5910 | 0.0 | 0.0023 |
0.0002 | 21.06 | 5940 | 0.0 | 0.0023 |
0.0002 | 21.17 | 5970 | 0.0 | 0.0023 |
0.0003 | 21.28 | 6000 | 0.0 | 0.0022 |
0.0002 | 21.38 | 6030 | 0.0 | 0.0023 |
0.0004 | 21.49 | 6060 | 0.0 | 0.0022 |
0.0002 | 21.6 | 6090 | 0.0 | 0.0023 |
0.0002 | 21.7 | 6120 | 0.0 | 0.0021 |
0.0007 | 21.81 | 6150 | 0.0 | 0.0022 |
0.0004 | 21.91 | 6180 | 0.0 | 0.0021 |
0.0002 | 22.02 | 6210 | 0.0 | 0.0021 |
0.0004 | 22.13 | 6240 | 0.0 | 0.0023 |
0.0004 | 22.23 | 6270 | 0.0 | 0.0023 |
0.0002 | 22.34 | 6300 | 0.0 | 0.0023 |
0.0002 | 22.45 | 6330 | 0.0 | 0.0024 |
0.0006 | 22.55 | 6360 | 0.0 | 0.0023 |
0.0002 | 22.66 | 6390 | 0.0 | 0.0021 |
0.0002 | 22.77 | 6420 | 0.0 | 0.0022 |
0.0002 | 22.87 | 6450 | 0.0 | 0.0023 |
0.0003 | 22.98 | 6480 | 0.0 | 0.0022 |
0.0004 | 23.09 | 6510 | 0.0 | 0.0021 |
0.0001 | 23.19 | 6540 | 0.0 | 0.0021 |
0.0004 | 23.3 | 6570 | 0.0 | 0.0023 |
0.0002 | 23.4 | 6600 | 0.0 | 0.0023 |
0.0002 | 23.51 | 6630 | 0.0 | 0.0021 |
0.0007 | 23.62 | 6660 | 0.0 | 0.0023 |
0.0001 | 23.72 | 6690 | 0.0 | 0.0022 |
0.0005 | 23.83 | 6720 | 0.0 | 0.0022 |
0.0003 | 23.94 | 6750 | 0.0 | 0.0022 |
0.0003 | 24.04 | 6780 | 0.0 | 0.0023 |
0.0013 | 24.15 | 6810 | 0.0 | 0.0022 |
0.0001 | 24.26 | 6840 | 0.0 | 0.0023 |
0.0003 | 24.36 | 6870 | 0.0 | 0.0022 |
0.0003 | 24.47 | 6900 | 0.0 | 0.0019 |
0.0001 | 24.57 | 6930 | 0.0 | 0.0023 |
0.0002 | 24.68 | 6960 | 0.0 | 0.0023 |
0.0002 | 24.79 | 6990 | 0.0 | 0.0021 |
0.0003 | 24.89 | 7020 | 0.0 | 0.0022 |
0.0003 | 25.0 | 7050 | 0.0 | 0.0022 |
0.0001 | 25.11 | 7080 | 0.0 | 0.0023 |
0.0002 | 25.21 | 7110 | 0.0 | 0.0022 |
0.0002 | 25.32 | 7140 | 0.0 | 0.0022 |
0.0002 | 25.43 | 7170 | 0.0 | 0.0022 |
0.0002 | 25.53 | 7200 | 0.0 | 0.0022 |
0.0003 | 25.64 | 7230 | 0.0 | 0.0023 |
0.0001 | 25.74 | 7260 | 0.0 | 0.0024 |
0.0001 | 25.85 | 7290 | 0.0 | 0.0023 |
0.0002 | 25.96 | 7320 | 0.0 | 0.0022 |
0.0002 | 26.06 | 7350 | 0.0 | 0.0021 |
0.0004 | 26.17 | 7380 | 0.0 | 0.0023 |
0.0002 | 26.28 | 7410 | 0.0 | 0.0023 |
0.0001 | 26.38 | 7440 | 0.0 | 0.0023 |
0.0002 | 26.49 | 7470 | 0.0 | 0.0020 |
0.0006 | 26.6 | 7500 | 0.0 | 0.0027 |
0.0002 | 26.7 | 7530 | 0.0 | 0.0022 |
0.0002 | 26.81 | 7560 | 0.0 | 0.0022 |
0.0006 | 26.91 | 7590 | 0.0 | 0.0020 |
0.0002 | 27.02 | 7620 | 0.0 | 0.0023 |
0.0004 | 27.13 | 7650 | 0.0 | 0.0022 |
0.0002 | 27.23 | 7680 | 0.0 | 0.0020 |
0.0004 | 27.34 | 7710 | 0.0 | 0.0021 |
0.0002 | 27.45 | 7740 | 0.0 | 0.0023 |
0.0001 | 27.55 | 7770 | 0.0 | 0.0023 |
0.0005 | 27.66 | 7800 | 0.0 | 0.0022 |
0.0002 | 27.77 | 7830 | 0.0 | 0.0023 |
0.0001 | 27.87 | 7860 | 0.0 | 0.0021 |
0.0001 | 27.98 | 7890 | 0.0 | 0.0022 |
0.0001 | 28.09 | 7920 | 0.0 | 0.0022 |
0.0002 | 28.19 | 7950 | 0.0 | 0.0021 |
0.0002 | 28.3 | 7980 | 0.0 | 0.0020 |
0.0001 | 28.4 | 8010 | 0.0 | 0.0023 |
0.0006 | 28.51 | 8040 | 0.0 | 0.0022 |
0.0001 | 28.62 | 8070 | 0.0 | 0.0023 |
0.0001 | 28.72 | 8100 | 0.0 | 0.0022 |
0.0001 | 28.83 | 8130 | 0.0 | 0.0021 |
0.0001 | 28.94 | 8160 | 0.0 | 0.0021 |
0.0002 | 29.04 | 8190 | 0.0 | 0.0023 |
0.0002 | 29.15 | 8220 | 0.0 | 0.0022 |
0.0001 | 29.26 | 8250 | 0.0 | 0.0020 |
0.0003 | 29.36 | 8280 | 0.0 | 0.0023 |
0.0001 | 29.47 | 8310 | 0.0 | 0.0022 |
0.0001 | 29.57 | 8340 | 0.0 | 0.0023 |
0.0002 | 29.68 | 8370 | 0.0 | 0.0023 |
0.0002 | 29.79 | 8400 | 0.0 | 0.0021 |
0.0002 | 29.89 | 8430 | 0.0 | 0.0023 |
0.0001 | 30.0 | 8460 | 0.0 | 0.0023 |
0.0001 | 30.11 | 8490 | 0.0 | 0.0025 |
0.0001 | 30.21 | 8520 | 0.0 | 0.0024 |
0.0001 | 30.32 | 8550 | 0.0 | 0.0024 |
0.0002 | 30.43 | 8580 | 0.0 | 0.0024 |
0.0003 | 30.53 | 8610 | 0.0 | 0.0024 |
0.0004 | 30.64 | 8640 | 0.0 | 0.0023 |
0.0003 | 30.74 | 8670 | 0.0 | 0.0021 |
0.0001 | 30.85 | 8700 | 0.0 | 0.0019 |
0.0001 | 30.96 | 8730 | 0.0 | 0.0021 |
0.0001 | 31.06 | 8760 | 0.0 | 0.0023 |
0.0004 | 31.17 | 8790 | 0.0 | 0.0022 |
0.0002 | 31.28 | 8820 | 0.0 | 0.0019 |
0.0001 | 31.38 | 8850 | 0.0 | 0.0023 |
0.0005 | 31.49 | 8880 | 0.0 | 0.0024 |
0.0001 | 31.6 | 8910 | 0.0 | 0.0024 |
0.0003 | 31.7 | 8940 | 0.0 | 0.0024 |
0.0005 | 31.81 | 8970 | 0.0 | 0.0024 |
0.0002 | 31.91 | 9000 | 0.0 | 0.0022 |
0.0003 | 32.02 | 9030 | 0.0 | 0.0023 |
0.0001 | 32.13 | 9060 | 0.0 | 0.0023 |
0.0003 | 32.23 | 9090 | 0.0 | 0.0023 |
0.0002 | 32.34 | 9120 | 0.0 | 0.0021 |
0.0002 | 32.45 | 9150 | 0.0 | 0.0023 |
0.0006 | 32.55 | 9180 | 0.0 | 0.0022 |
0.0006 | 32.66 | 9210 | 0.0 | 0.0023 |
0.0014 | 32.77 | 9240 | 0.0 | 0.0023 |
0.0001 | 32.87 | 9270 | 0.0 | 0.0022 |
0.0001 | 32.98 | 9300 | 0.0 | 0.0021 |
0.0001 | 33.09 | 9330 | 0.0 | 0.0021 |
0.0002 | 33.19 | 9360 | 0.0 | 0.0025 |
0.0001 | 33.3 | 9390 | 0.0 | 0.0024 |
0.0001 | 33.4 | 9420 | 0.0 | 0.0022 |
0.0002 | 33.51 | 9450 | 0.0 | 0.0023 |
0.002 | 33.62 | 9480 | 0.0 | 0.0024 |
0.0003 | 33.72 | 9510 | 0.0 | 0.0022 |
0.0003 | 33.83 | 9540 | 0.0 | 0.0023 |
0.0006 | 33.94 | 9570 | 0.0 | 0.0023 |
0.0001 | 34.04 | 9600 | 0.0 | 0.0024 |
0.0001 | 34.15 | 9630 | 0.0 | 0.0023 |
0.0002 | 34.26 | 9660 | 0.0 | 0.0023 |
0.0002 | 34.36 | 9690 | 0.0 | 0.0021 |
0.0001 | 34.47 | 9720 | 0.0 | 0.0023 |
0.0001 | 34.57 | 9750 | 0.0 | 0.0023 |
0.0003 | 34.68 | 9780 | 0.0 | 0.0024 |
0.0002 | 34.79 | 9810 | 0.0 | 0.0023 |
0.0002 | 34.89 | 9840 | 0.0 | 0.0023 |
0.0001 | 35.0 | 9870 | 0.0 | 0.0023 |
0.0003 | 35.11 | 9900 | 0.0 | 0.0024 |
0.0001 | 35.21 | 9930 | 0.0 | 0.0024 |
0.0002 | 35.32 | 9960 | 0.0 | 0.0022 |
0.0001 | 35.43 | 9990 | 0.0 | 0.0024 |
0.0002 | 35.53 | 10020 | 0.0 | 0.0023 |
0.0001 | 35.64 | 10050 | 0.0 | 0.0024 |
0.0001 | 35.74 | 10080 | 0.0 | 0.0024 |
0.0001 | 35.85 | 10110 | 0.0 | 0.0024 |
0.0001 | 35.96 | 10140 | 0.0 | 0.0022 |
0.0002 | 36.06 | 10170 | 0.0 | 0.0023 |
0.0002 | 36.17 | 10200 | 0.0 | 0.0025 |
0.0001 | 36.28 | 10230 | 0.0 | 0.0025 |
0.0001 | 36.38 | 10260 | 0.0 | 0.0027 |
0.0001 | 36.49 | 10290 | 0.0 | 0.0024 |
0.0001 | 36.6 | 10320 | 0.0 | 0.0024 |
0.0004 | 36.7 | 10350 | 0.0 | 0.0024 |
0.0002 | 36.81 | 10380 | 0.0 | 0.0023 |
0.0002 | 36.91 | 10410 | 0.0 | 0.0024 |
0.0003 | 37.02 | 10440 | 0.0 | 0.0024 |
0.0004 | 37.13 | 10470 | 0.0 | 0.0025 |
0.0001 | 37.23 | 10500 | 0.0 | 0.0024 |
0.0001 | 37.34 | 10530 | 0.0 | 0.0024 |
0.0001 | 37.45 | 10560 | 0.0 | 0.0025 |
0.0002 | 37.55 | 10590 | 0.0 | 0.0025 |
0.0002 | 37.66 | 10620 | 0.0 | 0.0024 |
0.0001 | 37.77 | 10650 | 0.0 | 0.0025 |
0.0005 | 37.87 | 10680 | 0.0 | 0.0024 |
0.0001 | 37.98 | 10710 | 0.0 | 0.0025 |
0.0 | 38.09 | 10740 | 0.0 | 0.0025 |
0.0001 | 38.19 | 10770 | 0.0 | 0.0026 |
0.0001 | 38.3 | 10800 | 0.0 | 0.0025 |
0.0001 | 38.4 | 10830 | 0.0 | 0.0025 |
0.0001 | 38.51 | 10860 | 0.0 | 0.0025 |
0.0002 | 38.62 | 10890 | 0.0 | 0.0024 |
0.0001 | 38.72 | 10920 | 0.0 | 0.0025 |
0.0 | 38.83 | 10950 | 0.0 | 0.0025 |
0.0001 | 38.94 | 10980 | 0.0 | 0.0024 |
0.0001 | 39.04 | 11010 | 0.0 | 0.0024 |
0.0003 | 39.15 | 11040 | 0.0 | 0.0024 |
0.0005 | 39.26 | 11070 | 0.0 | 0.0025 |
0.0 | 39.36 | 11100 | 0.0 | 0.0024 |
0.0001 | 39.47 | 11130 | 0.0 | 0.0024 |
0.0002 | 39.57 | 11160 | 0.0 | 0.0024 |
0.0004 | 39.68 | 11190 | 0.0 | 0.0024 |
0.0002 | 39.79 | 11220 | 0.0 | 0.0025 |
0.0003 | 39.89 | 11250 | 0.0 | 0.0024 |
0.0 | 40.0 | 11280 | 0.0 | 0.0024 |
Framework versions
- Transformers 4.37.1
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.1
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