File size: 29,129 Bytes
06105fe 254f35b 6ecbb8d 254f35b 06105fe 254f35b 6ecbb8d 254f35b 6ecbb8d 254f35b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 |
---
license: other
base_model: nvidia/segformer-b5-finetuned-cityscapes-1024-1024
tags:
- vision
- image-segmentation
- generated_from_trainer
model-index:
- name: segformer-b5-cityscapes-finetuned-coastTrain
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. -->
# segformer-b5-cityscapes-finetuned-coastTrain
This model is a fine-tuned version of [nvidia/segformer-b5-finetuned-cityscapes-1024-1024](https://huggingface.co./nvidia/segformer-b5-finetuned-cityscapes-1024-1024) on the peldrak/coastTrain dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1881
- Mean Iou: 0.8269
- Mean Accuracy: 0.9060
- Overall Accuracy: 0.9424
- Accuracy Water: 0.9707
- Accuracy Whitewater: 0.7995
- Accuracy Sediment: 0.8682
- Accuracy Other Natural Terrain: 0.8548
- Accuracy Vegetation: 0.9256
- Accuracy Development: 0.9477
- Accuracy Unknown: 0.9753
- Iou Water: 0.9366
- Iou Whitewater: 0.6328
- Iou Sediment: 0.8126
- Iou Other Natural Terrain: 0.7202
- Iou Vegetation: 0.8474
- Iou Development: 0.8731
- Iou Unknown: 0.9654
- F1 Score: 0.9423
## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Water | Accuracy Whitewater | Accuracy Sediment | Accuracy Other Natural Terrain | Accuracy Vegetation | Accuracy Development | Accuracy Unknown | Iou Water | Iou Whitewater | Iou Sediment | Iou Other Natural Terrain | Iou Vegetation | Iou Development | Iou Unknown | F1 Score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:--------------:|:-------------------:|:-----------------:|:------------------------------:|:-------------------:|:--------------------:|:----------------:|:---------:|:--------------:|:------------:|:-------------------------:|:--------------:|:---------------:|:-----------:|:--------:|
| 1.5137 | 0.16 | 20 | 1.4093 | 0.2798 | 0.3909 | 0.5891 | 0.7019 | 0.0298 | 0.0296 | 0.0247 | 0.9567 | 0.4761 | 0.5177 | 0.5641 | 0.0196 | 0.0292 | 0.0213 | 0.3809 | 0.4281 | 0.5158 | 0.5595 |
| 1.055 | 0.31 | 40 | 1.0631 | 0.3577 | 0.4550 | 0.7052 | 0.8814 | 0.0052 | 0.2973 | 0.0004 | 0.9572 | 0.4259 | 0.6178 | 0.7052 | 0.0050 | 0.2796 | 0.0004 | 0.4917 | 0.4043 | 0.6175 | 0.6828 |
| 1.0713 | 0.47 | 60 | 0.8083 | 0.4894 | 0.5712 | 0.8248 | 0.9457 | 0.0002 | 0.6146 | 0.0 | 0.8897 | 0.6666 | 0.8818 | 0.8231 | 0.0002 | 0.4732 | 0.0 | 0.6786 | 0.5733 | 0.8773 | 0.8106 |
| 1.1381 | 0.62 | 80 | 0.7066 | 0.4937 | 0.5901 | 0.8202 | 0.8788 | 0.0 | 0.5956 | 0.0051 | 0.9164 | 0.8435 | 0.8913 | 0.8319 | 0.0 | 0.4887 | 0.0051 | 0.6175 | 0.6277 | 0.8850 | 0.8107 |
| 1.7365 | 0.78 | 100 | 0.6244 | 0.5151 | 0.6193 | 0.8271 | 0.8129 | 0.0 | 0.8459 | 0.0000 | 0.8727 | 0.9082 | 0.8954 | 0.7790 | 0.0 | 0.5186 | 0.0000 | 0.7262 | 0.6899 | 0.8922 | 0.8218 |
| 0.7307 | 0.93 | 120 | 0.5070 | 0.5352 | 0.6115 | 0.8598 | 0.9605 | 0.0 | 0.6408 | 0.0 | 0.9080 | 0.8753 | 0.8955 | 0.8718 | 0.0 | 0.5549 | 0.0 | 0.6907 | 0.7387 | 0.8904 | 0.8458 |
| 1.1675 | 1.09 | 140 | 0.5019 | 0.5353 | 0.6205 | 0.8593 | 0.9221 | 0.0 | 0.6875 | 0.0000 | 0.9250 | 0.8983 | 0.9108 | 0.8673 | 0.0 | 0.5808 | 0.0000 | 0.7074 | 0.7402 | 0.8514 | 0.8465 |
| 0.701 | 1.24 | 160 | 0.4414 | 0.5432 | 0.6326 | 0.8671 | 0.9344 | 0.0007 | 0.7689 | 0.0004 | 0.8593 | 0.9636 | 0.9009 | 0.8799 | 0.0007 | 0.6322 | 0.0004 | 0.7217 | 0.6796 | 0.8876 | 0.8559 |
| 0.7284 | 1.4 | 180 | 0.4495 | 0.5437 | 0.6268 | 0.8576 | 0.8939 | 0.0 | 0.7874 | 0.0233 | 0.9336 | 0.8510 | 0.8985 | 0.8509 | 0.0 | 0.5802 | 0.0233 | 0.7158 | 0.7453 | 0.8902 | 0.8485 |
| 0.4898 | 1.55 | 200 | 0.3884 | 0.5559 | 0.6380 | 0.8772 | 0.9541 | 0.0 | 0.7934 | 0.0144 | 0.8666 | 0.9343 | 0.9031 | 0.8912 | 0.0 | 0.6746 | 0.0144 | 0.7378 | 0.6831 | 0.8901 | 0.8656 |
| 0.3669 | 1.71 | 220 | 0.3874 | 0.5574 | 0.6333 | 0.8752 | 0.9796 | 0.0001 | 0.7557 | 0.0380 | 0.8465 | 0.9239 | 0.8892 | 0.8747 | 0.0001 | 0.6674 | 0.0380 | 0.7369 | 0.7045 | 0.8802 | 0.8625 |
| 0.6277 | 1.86 | 240 | 0.3964 | 0.5600 | 0.6406 | 0.8770 | 0.9221 | 0.0029 | 0.8164 | 0.0 | 0.9202 | 0.9157 | 0.9069 | 0.8787 | 0.0029 | 0.6458 | 0.0 | 0.7487 | 0.7474 | 0.8965 | 0.8657 |
| 0.3567 | 2.02 | 260 | 0.3927 | 0.5648 | 0.6499 | 0.8825 | 0.9215 | 0.0000 | 0.8792 | 0.0016 | 0.8867 | 0.9531 | 0.9073 | 0.8862 | 0.0000 | 0.6898 | 0.0016 | 0.7659 | 0.7127 | 0.8974 | 0.8717 |
| 0.4065 | 2.17 | 280 | 0.3756 | 0.5633 | 0.6377 | 0.8810 | 0.9551 | 0.0145 | 0.7178 | 0.0058 | 0.9349 | 0.9232 | 0.9125 | 0.9051 | 0.0145 | 0.6369 | 0.0058 | 0.7220 | 0.7586 | 0.9000 | 0.8686 |
| 0.7596 | 2.33 | 300 | 0.3224 | 0.5907 | 0.6599 | 0.9000 | 0.9569 | 0.0001 | 0.8956 | 0.0230 | 0.9042 | 0.9352 | 0.9044 | 0.9019 | 0.0001 | 0.7377 | 0.0230 | 0.7935 | 0.7806 | 0.8977 | 0.8879 |
| 0.3008 | 2.48 | 320 | 0.3164 | 0.6114 | 0.6773 | 0.9011 | 0.9518 | 0.0022 | 0.8608 | 0.1780 | 0.9504 | 0.8886 | 0.9089 | 0.8993 | 0.0022 | 0.7541 | 0.1777 | 0.7957 | 0.7517 | 0.8992 | 0.8919 |
| 0.346 | 2.64 | 340 | 0.2927 | 0.6143 | 0.6807 | 0.9064 | 0.9643 | 0.0198 | 0.8652 | 0.1390 | 0.9219 | 0.9389 | 0.9156 | 0.9072 | 0.0197 | 0.7542 | 0.1388 | 0.8234 | 0.7570 | 0.8999 | 0.8967 |
| 0.272 | 2.79 | 360 | 0.2769 | 0.6170 | 0.6786 | 0.9098 | 0.9711 | 0.0228 | 0.8956 | 0.1033 | 0.9136 | 0.9310 | 0.9130 | 0.9071 | 0.0226 | 0.7745 | 0.1033 | 0.8178 | 0.7908 | 0.9030 | 0.8992 |
| 1.1467 | 2.95 | 380 | 0.2737 | 0.6153 | 0.6746 | 0.9107 | 0.9669 | 0.0005 | 0.9234 | 0.0834 | 0.9132 | 0.9179 | 0.9170 | 0.9041 | 0.0005 | 0.7624 | 0.0834 | 0.8207 | 0.8251 | 0.9110 | 0.8995 |
| 0.2723 | 3.1 | 400 | 0.3110 | 0.6254 | 0.6931 | 0.8984 | 0.9796 | 0.0115 | 0.8782 | 0.2913 | 0.8216 | 0.9572 | 0.9124 | 0.8902 | 0.0115 | 0.7610 | 0.2882 | 0.7610 | 0.7626 | 0.9032 | 0.8900 |
| 0.5568 | 3.26 | 420 | 0.3337 | 0.6544 | 0.7155 | 0.9012 | 0.9500 | 0.0359 | 0.7990 | 0.4369 | 0.9408 | 0.9111 | 0.9345 | 0.8904 | 0.0356 | 0.7152 | 0.4322 | 0.7726 | 0.8280 | 0.9068 | 0.8948 |
| 1.1779 | 3.41 | 440 | 0.2947 | 0.6237 | 0.6857 | 0.9057 | 0.9679 | 0.0133 | 0.7896 | 0.2042 | 0.9229 | 0.9476 | 0.9541 | 0.9116 | 0.0133 | 0.7095 | 0.2041 | 0.7783 | 0.8135 | 0.9357 | 0.8961 |
| 0.4611 | 3.57 | 460 | 0.2659 | 0.6563 | 0.7149 | 0.9153 | 0.9562 | 0.0761 | 0.9265 | 0.2765 | 0.9315 | 0.9160 | 0.9215 | 0.9051 | 0.0754 | 0.7745 | 0.2759 | 0.8331 | 0.8170 | 0.9133 | 0.9084 |
| 0.3981 | 3.72 | 480 | 0.2964 | 0.6657 | 0.7269 | 0.9046 | 0.9789 | 0.0658 | 0.8862 | 0.4978 | 0.8601 | 0.8802 | 0.9193 | 0.8972 | 0.0648 | 0.7316 | 0.4900 | 0.7955 | 0.7687 | 0.9118 | 0.8991 |
| 0.2398 | 3.88 | 500 | 0.2707 | 0.7112 | 0.7714 | 0.9181 | 0.9553 | 0.2649 | 0.8826 | 0.5232 | 0.9516 | 0.8983 | 0.9236 | 0.9130 | 0.2463 | 0.7796 | 0.5159 | 0.8301 | 0.7813 | 0.9125 | 0.9154 |
| 0.251 | 4.03 | 520 | 0.2693 | 0.6980 | 0.7686 | 0.9135 | 0.9680 | 0.2384 | 0.8886 | 0.5380 | 0.8746 | 0.9509 | 0.9215 | 0.9247 | 0.2301 | 0.7644 | 0.5082 | 0.8135 | 0.7432 | 0.9019 | 0.9110 |
| 0.4024 | 4.19 | 540 | 0.2900 | 0.6988 | 0.7641 | 0.9099 | 0.9662 | 0.2524 | 0.8416 | 0.5462 | 0.8835 | 0.8924 | 0.9662 | 0.9022 | 0.2351 | 0.7297 | 0.4979 | 0.7912 | 0.8078 | 0.9278 | 0.9065 |
| 0.3683 | 4.34 | 560 | 0.2852 | 0.7226 | 0.7853 | 0.9153 | 0.9567 | 0.3140 | 0.8381 | 0.5886 | 0.9349 | 0.9398 | 0.9248 | 0.9165 | 0.2981 | 0.7355 | 0.5773 | 0.8091 | 0.8062 | 0.9154 | 0.9132 |
| 0.2335 | 4.5 | 580 | 0.3128 | 0.7163 | 0.7833 | 0.9052 | 0.9370 | 0.3077 | 0.8492 | 0.6411 | 0.9398 | 0.8903 | 0.9182 | 0.8904 | 0.2859 | 0.6985 | 0.6154 | 0.8052 | 0.8088 | 0.9103 | 0.9038 |
| 1.5312 | 4.65 | 600 | 0.2551 | 0.7199 | 0.7784 | 0.9199 | 0.9599 | 0.3232 | 0.8606 | 0.4929 | 0.9314 | 0.9399 | 0.9410 | 0.9213 | 0.3082 | 0.7482 | 0.4884 | 0.8132 | 0.8258 | 0.9342 | 0.9175 |
| 0.3685 | 4.81 | 620 | 0.2286 | 0.7447 | 0.8053 | 0.9245 | 0.9757 | 0.3914 | 0.8468 | 0.6323 | 0.9213 | 0.9265 | 0.9431 | 0.9183 | 0.3353 | 0.7791 | 0.5920 | 0.8197 | 0.8356 | 0.9329 | 0.9226 |
| 0.2664 | 4.96 | 640 | 0.3448 | 0.7422 | 0.8128 | 0.9120 | 0.9329 | 0.4951 | 0.8208 | 0.6164 | 0.9396 | 0.9166 | 0.9679 | 0.9033 | 0.4493 | 0.7043 | 0.5822 | 0.7999 | 0.8185 | 0.9377 | 0.9112 |
| 0.2662 | 5.12 | 660 | 0.2932 | 0.7448 | 0.8158 | 0.9168 | 0.9516 | 0.5045 | 0.8308 | 0.6171 | 0.9215 | 0.9234 | 0.9616 | 0.9128 | 0.4277 | 0.7379 | 0.5809 | 0.8022 | 0.8260 | 0.9261 | 0.9157 |
| 1.1342 | 5.27 | 680 | 0.2631 | 0.7772 | 0.8420 | 0.9267 | 0.9816 | 0.5460 | 0.7974 | 0.7644 | 0.9196 | 0.9208 | 0.9640 | 0.9220 | 0.4753 | 0.7476 | 0.6784 | 0.8126 | 0.8527 | 0.9521 | 0.9253 |
| 0.2968 | 5.43 | 700 | 0.2302 | 0.7884 | 0.8577 | 0.9318 | 0.9537 | 0.5790 | 0.8663 | 0.7551 | 0.9368 | 0.9450 | 0.9680 | 0.9260 | 0.5104 | 0.7765 | 0.6694 | 0.8353 | 0.8467 | 0.9547 | 0.9315 |
| 0.3812 | 5.58 | 720 | 0.2051 | 0.7779 | 0.8372 | 0.9336 | 0.9772 | 0.4866 | 0.8627 | 0.7113 | 0.9184 | 0.9430 | 0.9612 | 0.9189 | 0.3999 | 0.8046 | 0.6717 | 0.8473 | 0.8508 | 0.9517 | 0.9325 |
| 0.1902 | 5.74 | 740 | 0.2044 | 0.7815 | 0.8584 | 0.9330 | 0.9651 | 0.5500 | 0.8494 | 0.8160 | 0.9469 | 0.9219 | 0.9597 | 0.9253 | 0.4528 | 0.7914 | 0.6608 | 0.8459 | 0.8452 | 0.9490 | 0.9325 |
| 0.2853 | 5.89 | 760 | 0.2718 | 0.7844 | 0.8523 | 0.9239 | 0.9479 | 0.5953 | 0.8483 | 0.7417 | 0.9288 | 0.9486 | 0.9554 | 0.9179 | 0.5321 | 0.7413 | 0.6981 | 0.8124 | 0.8399 | 0.9495 | 0.9238 |
| 0.1833 | 6.05 | 780 | 0.2191 | 0.7903 | 0.8613 | 0.9288 | 0.9598 | 0.6288 | 0.8627 | 0.7658 | 0.9246 | 0.9327 | 0.9546 | 0.9209 | 0.5326 | 0.7646 | 0.6852 | 0.8253 | 0.8539 | 0.9494 | 0.9286 |
| 0.2128 | 6.2 | 800 | 0.1897 | 0.8066 | 0.8748 | 0.9392 | 0.9703 | 0.6067 | 0.9032 | 0.8183 | 0.9098 | 0.9555 | 0.9599 | 0.9274 | 0.5356 | 0.8336 | 0.7080 | 0.8593 | 0.8315 | 0.9506 | 0.9388 |
| 0.2327 | 6.36 | 820 | 0.2148 | 0.7999 | 0.8734 | 0.9341 | 0.9531 | 0.6428 | 0.9396 | 0.7743 | 0.8991 | 0.9443 | 0.9604 | 0.9131 | 0.5264 | 0.8037 | 0.6901 | 0.8537 | 0.8609 | 0.9518 | 0.9342 |
| 1.0808 | 6.51 | 840 | 0.2443 | 0.7872 | 0.8597 | 0.9273 | 0.9631 | 0.6632 | 0.8257 | 0.7386 | 0.9302 | 0.9392 | 0.9580 | 0.9267 | 0.5440 | 0.7644 | 0.6807 | 0.8081 | 0.8341 | 0.9524 | 0.9270 |
| 0.2563 | 6.67 | 860 | 0.2376 | 0.7825 | 0.8473 | 0.9288 | 0.9637 | 0.5780 | 0.8420 | 0.7267 | 0.9379 | 0.9213 | 0.9619 | 0.9198 | 0.4945 | 0.7607 | 0.6624 | 0.8265 | 0.8596 | 0.9542 | 0.9282 |
| 0.209 | 6.82 | 880 | 0.2008 | 0.7996 | 0.8652 | 0.9353 | 0.9713 | 0.5989 | 0.8857 | 0.7859 | 0.9103 | 0.9475 | 0.9567 | 0.9236 | 0.5153 | 0.8064 | 0.7099 | 0.8452 | 0.8452 | 0.9516 | 0.9349 |
| 0.1402 | 6.98 | 900 | 0.2454 | 0.7832 | 0.8475 | 0.9295 | 0.9673 | 0.6082 | 0.8135 | 0.7021 | 0.9518 | 0.9292 | 0.9603 | 0.9271 | 0.5157 | 0.7680 | 0.6419 | 0.8117 | 0.8636 | 0.9544 | 0.9289 |
| 0.383 | 7.13 | 920 | 0.2064 | 0.7999 | 0.8706 | 0.9334 | 0.9720 | 0.6260 | 0.8447 | 0.8266 | 0.9219 | 0.9434 | 0.9599 | 0.9269 | 0.5389 | 0.7808 | 0.7077 | 0.8303 | 0.8620 | 0.9528 | 0.9329 |
| 0.5665 | 7.29 | 940 | 0.2529 | 0.7892 | 0.8836 | 0.9279 | 0.9513 | 0.7850 | 0.8478 | 0.7735 | 0.9296 | 0.9380 | 0.9601 | 0.9205 | 0.5403 | 0.7625 | 0.6755 | 0.8270 | 0.8449 | 0.9539 | 0.9284 |
| 0.2031 | 7.44 | 960 | 0.2445 | 0.7782 | 0.8562 | 0.9276 | 0.9491 | 0.6769 | 0.8635 | 0.6824 | 0.9435 | 0.9101 | 0.9680 | 0.9197 | 0.5111 | 0.7486 | 0.6226 | 0.8341 | 0.8524 | 0.9592 | 0.9277 |
| 0.1641 | 7.6 | 980 | 0.1669 | 0.8201 | 0.8875 | 0.9475 | 0.9762 | 0.6290 | 0.9007 | 0.8526 | 0.9303 | 0.9519 | 0.9719 | 0.9374 | 0.5367 | 0.8539 | 0.7152 | 0.8790 | 0.8560 | 0.9624 | 0.9472 |
| 0.1214 | 7.75 | 1000 | 0.1696 | 0.8279 | 0.8914 | 0.9479 | 0.9685 | 0.7061 | 0.9217 | 0.7959 | 0.9472 | 0.9376 | 0.9630 | 0.9371 | 0.5860 | 0.8561 | 0.7139 | 0.8779 | 0.8673 | 0.9570 | 0.9478 |
| 0.0926 | 7.91 | 1020 | 0.2069 | 0.8005 | 0.8677 | 0.9339 | 0.9733 | 0.6746 | 0.8183 | 0.7692 | 0.9485 | 0.9307 | 0.9595 | 0.9405 | 0.5605 | 0.7717 | 0.7126 | 0.8248 | 0.8397 | 0.9540 | 0.9334 |
| 0.4292 | 8.06 | 1040 | 0.1985 | 0.8140 | 0.8845 | 0.9408 | 0.9620 | 0.6695 | 0.9283 | 0.8152 | 0.9259 | 0.9310 | 0.9596 | 0.9263 | 0.5722 | 0.8215 | 0.6976 | 0.8728 | 0.8538 | 0.9535 | 0.9409 |
| 0.1741 | 8.22 | 1060 | 0.2038 | 0.8082 | 0.8877 | 0.9352 | 0.9619 | 0.7341 | 0.8483 | 0.8190 | 0.9322 | 0.9496 | 0.9685 | 0.9296 | 0.5834 | 0.7820 | 0.7134 | 0.8411 | 0.8503 | 0.9579 | 0.9351 |
| 0.218 | 8.37 | 1080 | 0.1888 | 0.8054 | 0.8766 | 0.9409 | 0.9770 | 0.7073 | 0.8644 | 0.7571 | 0.9442 | 0.9211 | 0.9653 | 0.9381 | 0.5579 | 0.8125 | 0.6568 | 0.8547 | 0.8599 | 0.9581 | 0.9406 |
| 0.1687 | 8.53 | 1100 | 0.1887 | 0.8208 | 0.8996 | 0.9424 | 0.9617 | 0.7261 | 0.9048 | 0.8567 | 0.9210 | 0.9514 | 0.9754 | 0.9320 | 0.6109 | 0.8214 | 0.6963 | 0.8650 | 0.8558 | 0.9643 | 0.9425 |
| 0.1115 | 8.68 | 1120 | 0.1924 | 0.8137 | 0.8967 | 0.9390 | 0.9737 | 0.7728 | 0.8477 | 0.8500 | 0.9296 | 0.9305 | 0.9726 | 0.9374 | 0.6039 | 0.7985 | 0.6894 | 0.8367 | 0.8657 | 0.9640 | 0.9389 |
| 0.2189 | 8.84 | 1140 | 0.1950 | 0.8102 | 0.8791 | 0.9397 | 0.9718 | 0.6680 | 0.8758 | 0.8029 | 0.9293 | 0.9407 | 0.9655 | 0.9321 | 0.5657 | 0.8183 | 0.6952 | 0.8497 | 0.8525 | 0.9581 | 0.9395 |
| 0.2046 | 8.99 | 1160 | 0.1955 | 0.8183 | 0.8889 | 0.9409 | 0.9707 | 0.7188 | 0.8764 | 0.8236 | 0.9345 | 0.9287 | 0.9693 | 0.9349 | 0.5922 | 0.8067 | 0.7146 | 0.8500 | 0.8690 | 0.9610 | 0.9407 |
| 0.0574 | 9.15 | 1180 | 0.1943 | 0.8258 | 0.9017 | 0.9423 | 0.9642 | 0.7756 | 0.8757 | 0.8409 | 0.9354 | 0.9389 | 0.9813 | 0.9362 | 0.6173 | 0.8057 | 0.7304 | 0.8544 | 0.8714 | 0.9653 | 0.9423 |
| 0.1683 | 9.3 | 1200 | 0.1685 | 0.8342 | 0.8967 | 0.9487 | 0.9695 | 0.7096 | 0.9281 | 0.8261 | 0.9382 | 0.9376 | 0.9676 | 0.9368 | 0.6100 | 0.8515 | 0.7291 | 0.8807 | 0.8726 | 0.9590 | 0.9486 |
| 0.1265 | 9.46 | 1220 | 0.1684 | 0.8278 | 0.8829 | 0.9482 | 0.9764 | 0.6761 | 0.9042 | 0.7785 | 0.9515 | 0.9278 | 0.9657 | 0.9404 | 0.5943 | 0.8480 | 0.7065 | 0.8732 | 0.8729 | 0.9595 | 0.9479 |
| 0.1052 | 9.61 | 1240 | 0.1743 | 0.8176 | 0.8969 | 0.9441 | 0.9750 | 0.7880 | 0.8907 | 0.7930 | 0.9261 | 0.9333 | 0.9721 | 0.9343 | 0.5809 | 0.8331 | 0.6799 | 0.8665 | 0.8654 | 0.9634 | 0.9441 |
| 0.1972 | 9.77 | 1260 | 0.2006 | 0.8135 | 0.8781 | 0.9385 | 0.9731 | 0.6571 | 0.8506 | 0.8227 | 0.9316 | 0.9379 | 0.9735 | 0.9315 | 0.5703 | 0.7969 | 0.7257 | 0.8386 | 0.8669 | 0.9643 | 0.9380 |
| 0.2727 | 9.92 | 1280 | 0.1952 | 0.8091 | 0.8666 | 0.9412 | 0.9714 | 0.6697 | 0.8829 | 0.7132 | 0.9561 | 0.9058 | 0.9672 | 0.9344 | 0.5762 | 0.8125 | 0.6553 | 0.8544 | 0.8714 | 0.9594 | 0.9407 |
| 0.1478 | 10.08 | 1300 | 0.1935 | 0.8153 | 0.8976 | 0.9395 | 0.9675 | 0.7368 | 0.8569 | 0.8718 | 0.9352 | 0.9506 | 0.9644 | 0.9317 | 0.6118 | 0.7976 | 0.6876 | 0.8580 | 0.8621 | 0.9584 | 0.9395 |
| 0.2574 | 10.23 | 1320 | 0.2107 | 0.8154 | 0.8888 | 0.9384 | 0.9586 | 0.7452 | 0.8745 | 0.8039 | 0.9545 | 0.9184 | 0.9668 | 0.9285 | 0.5996 | 0.7961 | 0.7035 | 0.8515 | 0.8681 | 0.9603 | 0.9385 |
| 0.9414 | 10.39 | 1340 | 0.1919 | 0.8221 | 0.8939 | 0.9428 | 0.9653 | 0.7195 | 0.8869 | 0.8314 | 0.9350 | 0.9456 | 0.9736 | 0.9319 | 0.5980 | 0.8148 | 0.7137 | 0.8644 | 0.8668 | 0.9652 | 0.9427 |
| 0.1415 | 10.54 | 1360 | 0.2000 | 0.8247 | 0.8946 | 0.9417 | 0.9687 | 0.7613 | 0.8609 | 0.8152 | 0.9407 | 0.9392 | 0.9761 | 0.9386 | 0.6259 | 0.8026 | 0.7224 | 0.8437 | 0.8722 | 0.9673 | 0.9416 |
| 0.1511 | 10.7 | 1380 | 0.1881 | 0.8269 | 0.9060 | 0.9424 | 0.9707 | 0.7995 | 0.8682 | 0.8548 | 0.9256 | 0.9477 | 0.9753 | 0.9366 | 0.6328 | 0.8126 | 0.7202 | 0.8474 | 0.8731 | 0.9654 | 0.9423 |
### Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.1
|