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---
tags:
- vision
- image-segmentation
- generated_from_trainer
model-index:
- name: kelp-from-scratch-segformer-b1-lr-0.0001-cleaned
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# kelp-from-scratch-segformer-b1-lr-0.0001-cleaned
This model is a fine-tuned version of [](https://huggingface.co/) on the samitizerxu/kelp_data_rgbagg_swin_nir_int_cleaned dataset.
It achieves the following results on the evaluation set:
- Iou Kelp: 0.1757
- Loss: 0.7377
## 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: 0.0001
- train_batch_size: 22
- eval_batch_size: 22
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 50
### Training results
| Training Loss | Epoch | Step | Iou Kelp | Validation Loss |
|:-------------:|:-----:|:----:|:--------:|:---------------:|
| 0.9943 | 0.15 | 30 | 0.0093 | 0.9841 |
| 0.9987 | 0.3 | 60 | 0.0091 | 0.9797 |
| 0.9912 | 0.46 | 90 | 0.0093 | 0.9822 |
| 0.9809 | 0.61 | 120 | 0.0089 | 0.9788 |
| 0.9882 | 0.76 | 150 | 0.0096 | 0.9791 |
| 0.9804 | 0.91 | 180 | 0.0070 | 0.9799 |
| 0.9987 | 1.07 | 210 | 0.0104 | 0.9275 |
| 0.997 | 1.22 | 240 | 0.0086 | 0.9696 |
| 0.8985 | 1.37 | 270 | 0.0086 | 0.9513 |
| 0.9921 | 1.52 | 300 | 0.0234 | 0.8703 |
| 0.9656 | 1.68 | 330 | 0.0115 | 0.9610 |
| 0.9229 | 1.83 | 360 | 0.0235 | 0.8871 |
| 0.9999 | 1.98 | 390 | 0.0117 | 0.9416 |
| 0.8409 | 2.13 | 420 | 0.0172 | 0.9212 |
| 0.9533 | 2.28 | 450 | 0.0322 | 0.8209 |
| 0.9815 | 2.44 | 480 | 0.0167 | 0.9070 |
| 0.9567 | 2.59 | 510 | 0.0314 | 0.8028 |
| 0.9747 | 2.74 | 540 | 0.0300 | 0.8489 |
| 0.983 | 2.89 | 570 | 0.0176 | 0.9069 |
| 0.963 | 3.05 | 600 | 0.0312 | 0.8878 |
| 0.9616 | 3.2 | 630 | 0.0249 | 0.8482 |
| 0.9395 | 3.35 | 660 | 0.0418 | 0.7781 |
| 0.8966 | 3.5 | 690 | 0.0155 | 0.8981 |
| 0.9939 | 3.65 | 720 | 0.0219 | 0.8737 |
| 0.9895 | 3.81 | 750 | 0.0107 | 0.9480 |
| 0.9434 | 3.96 | 780 | 0.0266 | 0.8413 |
| 0.9813 | 4.11 | 810 | 0.0323 | 0.8320 |
| 0.9051 | 4.26 | 840 | 0.0379 | 0.8097 |
| 0.9629 | 4.42 | 870 | 0.0447 | 0.7619 |
| 0.9067 | 4.57 | 900 | 0.0330 | 0.8137 |
| 0.9245 | 4.72 | 930 | 0.0253 | 0.8327 |
| 1.0 | 4.87 | 960 | 0.0273 | 0.8226 |
| 0.9869 | 5.03 | 990 | 0.0182 | 0.8993 |
| 0.9236 | 5.18 | 1020 | 0.0390 | 0.7772 |
| 0.9487 | 5.33 | 1050 | 0.0433 | 0.7845 |
| 0.9085 | 5.48 | 1080 | 0.0181 | 0.9285 |
| 0.9518 | 5.63 | 1110 | 0.0514 | 0.7551 |
| 0.9768 | 5.79 | 1140 | 0.0344 | 0.8475 |
| 0.8779 | 5.94 | 1170 | 0.0123 | 0.9069 |
| 0.9556 | 6.09 | 1200 | 0.0183 | 0.9066 |
| 0.8875 | 6.24 | 1230 | 0.1934 | 0.7787 |
| 0.9932 | 6.4 | 1260 | 0.0543 | 0.8902 |
| 0.9991 | 6.55 | 1290 | 0.0467 | 0.7678 |
| 0.9654 | 6.7 | 1320 | 0.0420 | 0.8434 |
| 0.9794 | 6.85 | 1350 | 0.0190 | 0.9163 |
| 0.9659 | 7.01 | 1380 | 0.0345 | 0.9441 |
| 0.8959 | 7.16 | 1410 | 0.0255 | 0.8717 |
| 0.9775 | 7.31 | 1440 | 0.0296 | 0.9072 |
| 0.9406 | 7.46 | 1470 | 0.0331 | 0.8282 |
| 0.9702 | 7.61 | 1500 | 0.0283 | 0.8532 |
| 0.9828 | 7.77 | 1530 | 0.0164 | 0.8719 |
| 0.9511 | 7.92 | 1560 | 0.0248 | 0.8392 |
| 0.9046 | 8.07 | 1590 | 0.0116 | 0.9260 |
| 0.9508 | 8.22 | 1620 | 0.0243 | 0.8499 |
| 0.9535 | 8.38 | 1650 | 0.0185 | 0.8567 |
| 0.9586 | 8.53 | 1680 | 0.0176 | 0.8867 |
| 0.947 | 8.68 | 1710 | 0.0296 | 0.7973 |
| 0.9404 | 8.83 | 1740 | 0.0137 | 0.8879 |
| 1.0 | 8.98 | 1770 | 0.0227 | 0.8902 |
| 0.9618 | 9.14 | 1800 | 0.0419 | 0.8119 |
| 0.8463 | 9.29 | 1830 | 0.0500 | 0.8065 |
| 0.9683 | 9.44 | 1860 | 0.0136 | 0.9266 |
| 0.9087 | 9.59 | 1890 | 0.0357 | 0.8041 |
| 0.946 | 9.75 | 1920 | 0.0426 | 0.8023 |
| 0.9723 | 9.9 | 1950 | 0.0470 | 0.7823 |
| 0.9487 | 10.05 | 1980 | 0.0218 | 0.8771 |
| 0.9483 | 10.2 | 2010 | 0.0265 | 0.8317 |
| 0.9678 | 10.36 | 2040 | 0.0512 | 0.7447 |
| 0.9909 | 10.51 | 2070 | 0.0266 | 0.8505 |
| 0.9688 | 10.66 | 2100 | 0.0315 | 0.8457 |
| 0.9617 | 10.81 | 2130 | 0.0388 | 0.7916 |
| 0.9105 | 10.96 | 2160 | 0.0641 | 0.7939 |
| 0.9447 | 11.12 | 2190 | 0.0338 | 0.8046 |
| 0.9127 | 11.27 | 2220 | 0.0883 | 0.7771 |
| 0.9151 | 11.42 | 2250 | 0.0285 | 0.8568 |
| 0.9339 | 11.57 | 2280 | 0.0773 | 0.7554 |
| 1.0 | 11.73 | 2310 | 0.0452 | 0.7623 |
| 0.9428 | 11.88 | 2340 | 0.0147 | 0.9230 |
| 1.0 | 12.03 | 2370 | 0.0266 | 0.8265 |
| 0.9432 | 12.18 | 2400 | 0.0284 | 0.8732 |
| 0.9436 | 12.34 | 2430 | 0.0398 | 0.7938 |
| 0.9772 | 12.49 | 2460 | 0.0345 | 0.8073 |
| 0.9552 | 12.64 | 2490 | 0.0125 | 0.9084 |
| 1.0 | 12.79 | 2520 | 0.0255 | 0.8099 |
| 0.953 | 12.94 | 2550 | 0.0694 | 0.7384 |
| 0.9225 | 13.1 | 2580 | 0.0286 | 0.8104 |
| 0.9119 | 13.25 | 2610 | 0.0312 | 0.8538 |
| 0.9726 | 13.4 | 2640 | 0.0511 | 0.7505 |
| 0.9674 | 13.55 | 2670 | 0.0504 | 0.7473 |
| 0.972 | 13.71 | 2700 | 0.0496 | 0.8009 |
| 0.9238 | 13.86 | 2730 | 0.0179 | 0.8479 |
| 0.9535 | 14.01 | 2760 | 0.1306 | 0.7997 |
| 0.9509 | 14.16 | 2790 | 0.0254 | 0.8065 |
| 0.8756 | 14.31 | 2820 | 0.0584 | 0.7479 |
| 0.9335 | 14.47 | 2850 | 0.0297 | 0.7988 |
| 0.956 | 14.62 | 2880 | 0.0311 | 0.8155 |
| 0.9544 | 14.77 | 2910 | 0.0526 | 0.8159 |
| 0.8577 | 14.92 | 2940 | 0.0770 | 0.7906 |
| 0.965 | 15.08 | 2970 | 0.0709 | 0.7446 |
| 0.987 | 15.23 | 3000 | 0.0479 | 0.7767 |
| 0.9692 | 15.38 | 3030 | 0.0895 | 0.8900 |
| 0.9602 | 15.53 | 3060 | 0.1262 | 0.8408 |
| 0.9586 | 15.69 | 3090 | 0.0643 | 0.7370 |
| 0.8871 | 15.84 | 3120 | 0.1753 | 0.7848 |
| 0.9259 | 15.99 | 3150 | 0.1110 | 0.7571 |
| 0.9463 | 16.14 | 3180 | 0.0651 | 0.7799 |
| 0.9489 | 16.29 | 3210 | 0.0627 | 0.7776 |
| 0.9814 | 16.45 | 3240 | 0.0476 | 0.7595 |
| 0.926 | 16.6 | 3270 | 0.0588 | 0.7354 |
| 0.8921 | 16.75 | 3300 | 0.0608 | 0.7637 |
| 0.9722 | 16.9 | 3330 | 0.0404 | 0.7916 |
| 0.9535 | 17.06 | 3360 | 0.0520 | 0.8781 |
| 0.9442 | 17.21 | 3390 | 0.0326 | 0.8189 |
| 0.945 | 17.36 | 3420 | 0.1141 | 0.8753 |
| 0.9799 | 17.51 | 3450 | 0.0678 | 0.7472 |
| 0.8504 | 17.66 | 3480 | 0.1633 | 0.8211 |
| 1.0 | 17.82 | 3510 | 0.0479 | 0.7849 |
| 0.9681 | 17.97 | 3540 | 0.0585 | 0.7741 |
| 0.9492 | 18.12 | 3570 | 0.0656 | 0.7374 |
| 0.9481 | 18.27 | 3600 | 0.0817 | 0.7382 |
| 0.9405 | 18.43 | 3630 | 0.0805 | 0.9278 |
| 0.8967 | 18.58 | 3660 | 0.0457 | 0.7692 |
| 0.9215 | 18.73 | 3690 | 0.0615 | 0.8308 |
| 0.9722 | 18.88 | 3720 | 0.1454 | 0.8367 |
| 0.9352 | 19.04 | 3750 | 0.1014 | 0.7641 |
| 0.9581 | 19.19 | 3780 | 0.1549 | 0.8425 |
| 0.9438 | 19.34 | 3810 | 0.0689 | 0.7524 |
| 0.976 | 19.49 | 3840 | 0.1321 | 0.8181 |
| 0.9248 | 19.64 | 3870 | 0.1782 | 0.8164 |
| 0.9114 | 19.8 | 3900 | 0.1553 | 0.7879 |
| 0.8975 | 19.95 | 3930 | 0.1875 | 0.7522 |
| 0.9696 | 20.1 | 3960 | 0.1521 | 0.8031 |
| 0.9217 | 20.25 | 3990 | 0.0667 | 0.7436 |
| 0.9375 | 20.41 | 4020 | 0.0902 | 0.9042 |
| 0.886 | 20.56 | 4050 | 0.0672 | 0.7541 |
| 0.9647 | 20.71 | 4080 | 0.1952 | 0.7983 |
| 0.9029 | 20.86 | 4110 | 0.0600 | 0.8339 |
| 0.9865 | 21.02 | 4140 | 0.0353 | 0.8191 |
| 0.9348 | 21.17 | 4170 | 0.0683 | 0.9285 |
| 0.965 | 21.32 | 4200 | 0.1153 | 0.7778 |
| 0.9006 | 21.47 | 4230 | 0.2049 | 0.7928 |
| 0.9726 | 21.62 | 4260 | 0.0687 | 0.7431 |
| 0.8811 | 21.78 | 4290 | 0.1643 | 0.7903 |
| 0.9622 | 21.93 | 4320 | 0.1069 | 0.7641 |
| 0.9267 | 22.08 | 4350 | 0.0647 | 0.7764 |
| 0.9729 | 22.23 | 4380 | 0.0770 | 0.7323 |
| 0.951 | 22.39 | 4410 | 0.1069 | 0.8905 |
| 0.976 | 22.54 | 4440 | 0.1024 | 0.7324 |
| 0.9763 | 22.69 | 4470 | 0.0679 | 0.8286 |
| 0.912 | 22.84 | 4500 | 0.1492 | 0.7784 |
| 0.8856 | 22.99 | 4530 | 0.1400 | 0.7411 |
| 0.9663 | 23.15 | 4560 | 0.1588 | 0.8195 |
| 0.9577 | 23.3 | 4590 | 0.0532 | 0.7803 |
| 0.9898 | 23.45 | 4620 | 0.1014 | 0.7892 |
| 0.9079 | 23.6 | 4650 | 0.0457 | 0.7695 |
| 0.9014 | 23.76 | 4680 | 0.1119 | 0.7742 |
| 0.959 | 23.91 | 4710 | 0.0781 | 0.7461 |
| 0.9762 | 24.06 | 4740 | 0.0852 | 0.8429 |
| 0.952 | 24.21 | 4770 | 0.0978 | 0.7348 |
| 0.9606 | 24.37 | 4800 | 0.0966 | 0.7263 |
| 0.93 | 24.52 | 4830 | 0.0707 | 0.7334 |
| 0.9514 | 24.67 | 4860 | 0.2207 | 0.7526 |
| 0.9639 | 24.82 | 4890 | 0.0877 | 0.7545 |
| 0.8319 | 24.97 | 4920 | 0.0751 | 0.7816 |
| 0.959 | 25.13 | 4950 | 0.0457 | 0.7726 |
| 0.9875 | 25.28 | 4980 | 0.0877 | 0.9052 |
| 0.9567 | 25.43 | 5010 | 0.0875 | 0.7308 |
| 0.8535 | 25.58 | 5040 | 0.1697 | 0.8189 |
| 0.903 | 25.74 | 5070 | 0.2176 | 0.7322 |
| 0.9654 | 25.89 | 5100 | 0.2082 | 0.7325 |
| 0.9139 | 26.04 | 5130 | 0.0856 | 0.7604 |
| 0.9684 | 26.19 | 5160 | 0.1764 | 0.8378 |
| 0.9869 | 26.35 | 5190 | 0.0372 | 0.8459 |
| 0.9325 | 26.5 | 5220 | 0.2127 | 0.7494 |
| 0.9396 | 26.65 | 5250 | 0.2123 | 0.7630 |
| 0.9522 | 26.8 | 5280 | 0.1121 | 0.7878 |
| 0.9404 | 26.95 | 5310 | 0.0783 | 0.7300 |
| 0.8336 | 27.11 | 5340 | 0.0862 | 0.8091 |
| 0.9827 | 27.26 | 5370 | 0.1633 | 0.7761 |
| 0.9743 | 27.41 | 5400 | 0.1033 | 0.7903 |
| 0.8255 | 27.56 | 5430 | 0.1535 | 0.7349 |
| 0.9828 | 27.72 | 5460 | 0.0835 | 0.7236 |
| 0.9607 | 27.87 | 5490 | 0.1012 | 0.7503 |
| 0.9659 | 28.02 | 5520 | 0.1087 | 0.7412 |
| 0.9467 | 28.17 | 5550 | 0.0687 | 0.7867 |
| 0.9261 | 28.32 | 5580 | 0.1773 | 0.8152 |
| 1.0 | 28.48 | 5610 | 0.0922 | 0.7728 |
| 0.9543 | 28.63 | 5640 | 0.2284 | 0.7482 |
| 0.9198 | 28.78 | 5670 | 0.2101 | 0.7313 |
| 0.9667 | 28.93 | 5700 | 0.1985 | 0.7698 |
| 0.8591 | 29.09 | 5730 | 0.0994 | 0.7528 |
| 0.9697 | 29.24 | 5760 | 0.1437 | 0.7865 |
| 0.9313 | 29.39 | 5790 | 0.1197 | 0.7443 |
| 0.9457 | 29.54 | 5820 | 0.1529 | 0.8172 |
| 0.9283 | 29.7 | 5850 | 0.1204 | 0.7310 |
| 0.8794 | 29.85 | 5880 | 0.2253 | 0.7703 |
| 0.9999 | 30.0 | 5910 | 0.0922 | 0.7463 |
| 1.0 | 30.15 | 5940 | 0.0763 | 0.7472 |
| 0.9674 | 30.3 | 5970 | 0.0678 | 0.7574 |
| 0.9543 | 30.46 | 6000 | 0.1619 | 0.7388 |
| 0.96 | 30.61 | 6030 | 0.1436 | 0.8416 |
| 0.9778 | 30.76 | 6060 | 0.0994 | 0.7353 |
| 0.9436 | 30.91 | 6090 | 0.1649 | 0.7740 |
| 0.9054 | 31.07 | 6120 | 0.1537 | 0.7387 |
| 0.967 | 31.22 | 6150 | 0.1574 | 0.7569 |
| 0.9174 | 31.37 | 6180 | 0.1378 | 0.7870 |
| 0.9667 | 31.52 | 6210 | 0.1505 | 0.7650 |
| 0.9848 | 31.68 | 6240 | 0.1231 | 0.7584 |
| 0.9514 | 31.83 | 6270 | 0.1188 | 0.7533 |
| 0.9179 | 31.98 | 6300 | 0.2073 | 0.7696 |
| 0.9733 | 32.13 | 6330 | 0.0941 | 0.7400 |
| 0.9177 | 32.28 | 6360 | 0.1431 | 0.8260 |
| 0.9338 | 32.44 | 6390 | 0.1259 | 0.7474 |
| 0.9704 | 32.59 | 6420 | 0.2298 | 0.7447 |
| 0.9133 | 32.74 | 6450 | 0.1500 | 0.7347 |
| 0.9121 | 32.89 | 6480 | 0.1538 | 0.7280 |
| 0.9649 | 33.05 | 6510 | 0.1617 | 0.7385 |
| 0.9113 | 33.2 | 6540 | 0.1399 | 0.7408 |
| 0.998 | 33.35 | 6570 | 0.1663 | 0.7621 |
| 0.9567 | 33.5 | 6600 | 0.1559 | 0.7560 |
| 0.9421 | 33.65 | 6630 | 0.1966 | 0.7766 |
| 0.9441 | 33.81 | 6660 | 0.1558 | 0.7314 |
| 0.934 | 33.96 | 6690 | 0.1846 | 0.7564 |
| 0.9874 | 34.11 | 6720 | 0.2541 | 0.7462 |
| 0.8515 | 34.26 | 6750 | 0.2071 | 0.7591 |
| 0.9204 | 34.42 | 6780 | 0.1673 | 0.7342 |
| 0.9358 | 34.57 | 6810 | 0.1883 | 0.7930 |
| 0.8267 | 34.72 | 6840 | 0.2290 | 0.7462 |
| 0.8998 | 34.87 | 6870 | 0.2199 | 0.7532 |
| 0.9496 | 35.03 | 6900 | 0.1121 | 0.7522 |
| 0.9854 | 35.18 | 6930 | 0.1238 | 0.7288 |
| 0.9971 | 35.33 | 6960 | 0.1982 | 0.7527 |
| 0.9621 | 35.48 | 6990 | 0.1837 | 0.7460 |
| 0.9626 | 35.63 | 7020 | 0.1268 | 0.7404 |
| 0.9037 | 35.79 | 7050 | 0.1184 | 0.7267 |
| 0.908 | 35.94 | 7080 | 0.1914 | 0.7388 |
| 0.996 | 36.09 | 7110 | 0.2036 | 0.7363 |
| 0.9635 | 36.24 | 7140 | 0.1858 | 0.7450 |
| 0.9446 | 36.4 | 7170 | 0.1363 | 0.7285 |
| 0.9808 | 36.55 | 7200 | 0.1578 | 0.7666 |
| 0.9212 | 36.7 | 7230 | 0.2064 | 0.7660 |
| 0.8472 | 36.85 | 7260 | 0.1804 | 0.7241 |
| 0.9328 | 37.01 | 7290 | 0.1143 | 0.7270 |
| 0.9276 | 37.16 | 7320 | 0.2104 | 0.7725 |
| 0.9599 | 37.31 | 7350 | 0.2237 | 0.7334 |
| 0.9058 | 37.46 | 7380 | 0.1586 | 0.7304 |
| 0.8654 | 37.61 | 7410 | 0.1439 | 0.7490 |
| 0.9653 | 37.77 | 7440 | 0.1785 | 0.7817 |
| 0.9201 | 37.92 | 7470 | 0.1178 | 0.7317 |
| 0.9545 | 38.07 | 7500 | 0.1523 | 0.7752 |
| 0.9484 | 38.22 | 7530 | 0.1208 | 0.7194 |
| 0.8723 | 38.38 | 7560 | 0.2017 | 0.7564 |
| 0.9555 | 38.53 | 7590 | 0.1065 | 0.7323 |
| 0.9654 | 38.68 | 7620 | 0.1721 | 0.7586 |
| 0.9044 | 38.83 | 7650 | 0.1482 | 0.7538 |
| 0.9745 | 38.98 | 7680 | 0.1507 | 0.7523 |
| 0.991 | 39.14 | 7710 | 0.1344 | 0.7389 |
| 0.9504 | 39.29 | 7740 | 0.1108 | 0.7170 |
| 0.9948 | 39.44 | 7770 | 0.1555 | 0.7555 |
| 0.9458 | 39.59 | 7800 | 0.1324 | 0.7640 |
| 0.9725 | 39.75 | 7830 | 0.1792 | 0.7599 |
| 0.9747 | 39.9 | 7860 | 0.1785 | 0.7485 |
| 0.9779 | 40.05 | 7890 | 0.1751 | 0.7391 |
| 0.9325 | 40.2 | 7920 | 0.2171 | 0.7406 |
| 0.8857 | 40.36 | 7950 | 0.1687 | 0.7203 |
| 0.9229 | 40.51 | 7980 | 0.2092 | 0.7256 |
| 0.9177 | 40.66 | 8010 | 0.1453 | 0.7217 |
| 0.9315 | 40.81 | 8040 | 0.1878 | 0.7415 |
| 0.9942 | 40.96 | 8070 | 0.1602 | 0.7443 |
| 0.9101 | 41.12 | 8100 | 0.1596 | 0.7546 |
| 0.9029 | 41.27 | 8130 | 0.1510 | 0.7346 |
| 0.994 | 41.42 | 8160 | 0.1474 | 0.7336 |
| 0.9862 | 41.57 | 8190 | 0.1274 | 0.7234 |
| 0.9136 | 41.73 | 8220 | 0.1425 | 0.7433 |
| 0.9723 | 41.88 | 8250 | 0.1138 | 0.7286 |
| 0.937 | 42.03 | 8280 | 0.1345 | 0.7425 |
| 0.9773 | 42.18 | 8310 | 0.1405 | 0.7342 |
| 0.9655 | 42.34 | 8340 | 0.1193 | 0.7290 |
| 0.9165 | 42.49 | 8370 | 0.1306 | 0.7318 |
| 0.9409 | 42.64 | 8400 | 0.1504 | 0.7364 |
| 0.976 | 42.79 | 8430 | 0.2013 | 0.7437 |
| 1.0 | 42.94 | 8460 | 0.1821 | 0.7342 |
| 0.967 | 43.1 | 8490 | 0.1685 | 0.7384 |
| 0.9877 | 43.25 | 8520 | 0.1471 | 0.7409 |
| 0.9736 | 43.4 | 8550 | 0.1682 | 0.7372 |
| 1.0 | 43.55 | 8580 | 0.1467 | 0.7332 |
| 0.8718 | 43.71 | 8610 | 0.1380 | 0.7329 |
| 0.997 | 43.86 | 8640 | 0.1314 | 0.7350 |
| 1.0 | 44.01 | 8670 | 0.1372 | 0.7361 |
| 1.0 | 44.16 | 8700 | 0.1442 | 0.7400 |
| 0.8811 | 44.31 | 8730 | 0.1603 | 0.7432 |
| 1.0 | 44.47 | 8760 | 0.1651 | 0.7373 |
| 0.9233 | 44.62 | 8790 | 0.2112 | 0.7484 |
| 0.9555 | 44.77 | 8820 | 0.1837 | 0.7375 |
| 0.8655 | 44.92 | 8850 | 0.1394 | 0.7348 |
| 0.9908 | 45.08 | 8880 | 0.1355 | 0.7375 |
| 0.8959 | 45.23 | 8910 | 0.1391 | 0.7354 |
| 0.9595 | 45.38 | 8940 | 0.1437 | 0.7325 |
| 0.9383 | 45.53 | 8970 | 0.1448 | 0.7382 |
| 0.9417 | 45.69 | 9000 | 0.1793 | 0.7486 |
| 0.9317 | 45.84 | 9030 | 0.1720 | 0.7391 |
| 0.9744 | 45.99 | 9060 | 0.1552 | 0.7388 |
| 0.9443 | 46.14 | 9090 | 0.1486 | 0.7345 |
| 0.9325 | 46.29 | 9120 | 0.1391 | 0.7383 |
| 0.9421 | 46.45 | 9150 | 0.1539 | 0.7393 |
| 0.9451 | 46.6 | 9180 | 0.1436 | 0.7328 |
| 0.9538 | 46.75 | 9210 | 0.1419 | 0.7342 |
| 0.955 | 46.9 | 9240 | 0.1581 | 0.7433 |
| 0.9611 | 47.06 | 9270 | 0.1652 | 0.7407 |
| 0.9296 | 47.21 | 9300 | 0.1716 | 0.7377 |
| 0.9413 | 47.36 | 9330 | 0.1567 | 0.7374 |
| 0.9372 | 47.51 | 9360 | 0.1511 | 0.7376 |
| 0.9524 | 47.66 | 9390 | 0.1586 | 0.7369 |
| 0.9681 | 47.82 | 9420 | 0.1411 | 0.7370 |
| 0.9295 | 47.97 | 9450 | 0.1506 | 0.7394 |
| 0.9983 | 48.12 | 9480 | 0.1503 | 0.7318 |
| 0.8795 | 48.27 | 9510 | 0.1363 | 0.7276 |
| 0.9147 | 48.43 | 9540 | 0.1502 | 0.7331 |
| 0.9063 | 48.58 | 9570 | 0.1556 | 0.7400 |
| 0.9501 | 48.73 | 9600 | 0.1616 | 0.7346 |
| 1.0 | 48.88 | 9630 | 0.1546 | 0.7307 |
| 0.9565 | 49.04 | 9660 | 0.1458 | 0.7335 |
| 0.9266 | 49.19 | 9690 | 0.1525 | 0.7336 |
| 0.935 | 49.34 | 9720 | 0.1516 | 0.7333 |
| 0.8765 | 49.49 | 9750 | 0.1364 | 0.7313 |
| 0.9403 | 49.64 | 9780 | 0.1501 | 0.7282 |
| 0.91 | 49.8 | 9810 | 0.1577 | 0.7422 |
| 0.9521 | 49.95 | 9840 | 0.1757 | 0.7377 |
### Framework versions
- Transformers 4.37.1
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.1
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