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---
license: mit
base_model: microsoft/deberta-v3-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: added_token_resized_model_test_0825
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. -->
# added_token_resized_model_test_0825
This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0004
- Accuracy: 1.0000
- F1: 0.9981
- Precision: 0.9961
- Recall: 1.0
## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 200
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
| No log | 1.0 | 123 | 0.0578 | 0.9938 | 0.0 | 0.0 | 0.0 |
| No log | 2.0 | 246 | 0.0371 | 0.9938 | 0.0 | 0.0 | 0.0 |
| No log | 3.0 | 369 | 0.0358 | 0.9938 | 0.0 | 0.0 | 0.0 |
| No log | 4.0 | 492 | 0.0339 | 0.9938 | 0.0 | 0.0 | 0.0 |
| 0.0968 | 5.0 | 615 | 0.0329 | 0.9938 | 0.0 | 0.0 | 0.0 |
| 0.0968 | 6.0 | 738 | 0.0293 | 0.9938 | 0.0 | 0.0 | 0.0 |
| 0.0968 | 7.0 | 861 | 0.0257 | 0.9936 | 0.0223 | 0.2727 | 0.0116 |
| 0.0968 | 8.0 | 984 | 0.0243 | 0.9938 | 0.0 | 0.0 | 0.0 |
| 0.0299 | 9.0 | 1107 | 0.0239 | 0.9938 | 0.0 | 0.0 | 0.0 |
| 0.0299 | 10.0 | 1230 | 0.0249 | 0.9934 | 0.3089 | 0.4453 | 0.2364 |
| 0.0299 | 11.0 | 1353 | 0.0226 | 0.9938 | 0.0 | 0.0 | 0.0 |
| 0.0299 | 12.0 | 1476 | 0.0236 | 0.9938 | 0.1623 | 0.5 | 0.0969 |
| 0.0249 | 13.0 | 1599 | 0.0213 | 0.9935 | 0.0 | 0.0 | 0.0 |
| 0.0249 | 14.0 | 1722 | 0.0203 | 0.9939 | 0.1759 | 0.5510 | 0.1047 |
| 0.0249 | 15.0 | 1845 | 0.0190 | 0.9939 | 0.2025 | 0.5517 | 0.1240 |
| 0.0249 | 16.0 | 1968 | 0.0192 | 0.9938 | 0.0 | 0.0 | 0.0 |
| 0.0218 | 17.0 | 2091 | 0.0177 | 0.9942 | 0.1495 | 0.9130 | 0.0814 |
| 0.0218 | 18.0 | 2214 | 0.0178 | 0.9950 | 0.4607 | 0.7097 | 0.3411 |
| 0.0218 | 19.0 | 2337 | 0.0168 | 0.9948 | 0.4216 | 0.6964 | 0.3023 |
| 0.0218 | 20.0 | 2460 | 0.0171 | 0.9947 | 0.3323 | 0.8060 | 0.2093 |
| 0.0184 | 21.0 | 2583 | 0.0151 | 0.9953 | 0.4670 | 0.8019 | 0.3295 |
| 0.0184 | 22.0 | 2706 | 0.0144 | 0.9955 | 0.5131 | 0.7903 | 0.3798 |
| 0.0184 | 23.0 | 2829 | 0.0140 | 0.9955 | 0.5507 | 0.7308 | 0.4419 |
| 0.0184 | 24.0 | 2952 | 0.0144 | 0.9954 | 0.4863 | 0.8241 | 0.3450 |
| 0.016 | 25.0 | 3075 | 0.0131 | 0.9958 | 0.5940 | 0.7399 | 0.4961 |
| 0.016 | 26.0 | 3198 | 0.0133 | 0.9960 | 0.5951 | 0.8026 | 0.4729 |
| 0.016 | 27.0 | 3321 | 0.0134 | 0.9959 | 0.5947 | 0.7799 | 0.4806 |
| 0.016 | 28.0 | 3444 | 0.0124 | 0.9961 | 0.6165 | 0.7844 | 0.5078 |
| 0.0141 | 29.0 | 3567 | 0.0118 | 0.9961 | 0.6279 | 0.7849 | 0.5233 |
| 0.0141 | 30.0 | 3690 | 0.0114 | 0.9962 | 0.6165 | 0.8247 | 0.4922 |
| 0.0141 | 31.0 | 3813 | 0.0114 | 0.9960 | 0.6404 | 0.7374 | 0.5659 |
| 0.0141 | 32.0 | 3936 | 0.0116 | 0.9958 | 0.5865 | 0.7722 | 0.4729 |
| 0.013 | 33.0 | 4059 | 0.0105 | 0.9966 | 0.6847 | 0.8172 | 0.5891 |
| 0.013 | 34.0 | 4182 | 0.0099 | 0.9968 | 0.6968 | 0.8370 | 0.5969 |
| 0.013 | 35.0 | 4305 | 0.0109 | 0.9960 | 0.6224 | 0.7598 | 0.5271 |
| 0.013 | 36.0 | 4428 | 0.0094 | 0.9967 | 0.7054 | 0.7923 | 0.6357 |
| 0.0107 | 37.0 | 4551 | 0.0091 | 0.9967 | 0.6953 | 0.8324 | 0.5969 |
| 0.0107 | 38.0 | 4674 | 0.0090 | 0.9968 | 0.7061 | 0.8131 | 0.6240 |
| 0.0107 | 39.0 | 4797 | 0.0090 | 0.9968 | 0.7158 | 0.8128 | 0.6395 |
| 0.0107 | 40.0 | 4920 | 0.0086 | 0.9969 | 0.7205 | 0.825 | 0.6395 |
| 0.0104 | 41.0 | 5043 | 0.0081 | 0.9972 | 0.7417 | 0.8615 | 0.6512 |
| 0.0104 | 42.0 | 5166 | 0.0080 | 0.9972 | 0.7619 | 0.8178 | 0.7132 |
| 0.0104 | 43.0 | 5289 | 0.0083 | 0.9971 | 0.7463 | 0.8294 | 0.6783 |
| 0.0104 | 44.0 | 5412 | 0.0073 | 0.9975 | 0.7794 | 0.8708 | 0.7054 |
| 0.0087 | 45.0 | 5535 | 0.0072 | 0.9976 | 0.7851 | 0.9040 | 0.6938 |
| 0.0087 | 46.0 | 5658 | 0.0070 | 0.9977 | 0.8025 | 0.8761 | 0.7403 |
| 0.0087 | 47.0 | 5781 | 0.0093 | 0.9965 | 0.6883 | 0.7794 | 0.6163 |
| 0.0087 | 48.0 | 5904 | 0.0087 | 0.9967 | 0.6852 | 0.8506 | 0.5736 |
| 0.0099 | 49.0 | 6027 | 0.0081 | 0.9969 | 0.7351 | 0.7817 | 0.6938 |
| 0.0099 | 50.0 | 6150 | 0.0080 | 0.9969 | 0.7078 | 0.8611 | 0.6008 |
| 0.0099 | 51.0 | 6273 | 0.0075 | 0.9971 | 0.7424 | 0.85 | 0.6589 |
| 0.0099 | 52.0 | 6396 | 0.0076 | 0.9970 | 0.7389 | 0.8169 | 0.6744 |
| 0.0087 | 53.0 | 6519 | 0.0087 | 0.9969 | 0.7156 | 0.8385 | 0.6240 |
| 0.0087 | 54.0 | 6642 | 0.0092 | 0.9963 | 0.6308 | 0.8543 | 0.5 |
| 0.0087 | 55.0 | 6765 | 0.0082 | 0.9966 | 0.6887 | 0.8 | 0.6047 |
| 0.0087 | 56.0 | 6888 | 0.0078 | 0.9967 | 0.6882 | 0.8514 | 0.5775 |
| 0.0089 | 57.0 | 7011 | 0.0077 | 0.9970 | 0.7325 | 0.8434 | 0.6473 |
| 0.0089 | 58.0 | 7134 | 0.0077 | 0.9969 | 0.7221 | 0.8291 | 0.6395 |
| 0.0089 | 59.0 | 7257 | 0.0075 | 0.9971 | 0.7375 | 0.8374 | 0.6589 |
| 0.0089 | 60.0 | 7380 | 0.0074 | 0.9973 | 0.7559 | 0.8537 | 0.6783 |
| 0.0074 | 61.0 | 7503 | 0.0083 | 0.9967 | 0.6822 | 0.8588 | 0.5659 |
| 0.0074 | 62.0 | 7626 | 0.0079 | 0.9971 | 0.7341 | 0.8477 | 0.6473 |
| 0.0074 | 63.0 | 7749 | 0.0075 | 0.9970 | 0.7089 | 0.8988 | 0.5853 |
| 0.0074 | 64.0 | 7872 | 0.0078 | 0.9970 | 0.7156 | 0.8764 | 0.6047 |
| 0.0074 | 65.0 | 7995 | 0.0075 | 0.9972 | 0.7473 | 0.8629 | 0.6589 |
| 0.0077 | 66.0 | 8118 | 0.0070 | 0.9972 | 0.7516 | 0.8488 | 0.6744 |
| 0.0077 | 67.0 | 8241 | 0.0070 | 0.9973 | 0.7603 | 0.8585 | 0.6822 |
| 0.0077 | 68.0 | 8364 | 0.0066 | 0.9974 | 0.7662 | 0.8676 | 0.6860 |
| 0.0077 | 69.0 | 8487 | 0.0070 | 0.9972 | 0.7421 | 0.8913 | 0.6357 |
| 0.0065 | 70.0 | 8610 | 0.0073 | 0.9971 | 0.7170 | 0.9157 | 0.5891 |
| 0.0065 | 71.0 | 8733 | 0.0068 | 0.9972 | 0.7361 | 0.9138 | 0.6163 |
| 0.0065 | 72.0 | 8856 | 0.0069 | 0.9974 | 0.7682 | 0.8606 | 0.6938 |
| 0.0065 | 73.0 | 8979 | 0.0070 | 0.9974 | 0.7735 | 0.8619 | 0.7016 |
| 0.0062 | 74.0 | 9102 | 0.0070 | 0.9974 | 0.7735 | 0.8619 | 0.7016 |
| 0.0062 | 75.0 | 9225 | 0.0064 | 0.9974 | 0.7745 | 0.8585 | 0.7054 |
| 0.0062 | 76.0 | 9348 | 0.0067 | 0.9973 | 0.7588 | 0.8737 | 0.6705 |
| 0.0062 | 77.0 | 9471 | 0.0068 | 0.9974 | 0.7483 | 0.9257 | 0.6279 |
| 0.0056 | 78.0 | 9594 | 0.0074 | 0.9975 | 0.7689 | 0.9010 | 0.6705 |
| 0.0056 | 79.0 | 9717 | 0.0063 | 0.9975 | 0.7839 | 0.8645 | 0.7171 |
| 0.0056 | 80.0 | 9840 | 0.0061 | 0.9975 | 0.7664 | 0.9235 | 0.6550 |
| 0.0056 | 81.0 | 9963 | 0.0060 | 0.9976 | 0.7863 | 0.8762 | 0.7132 |
| 0.0058 | 82.0 | 10086 | 0.0060 | 0.9976 | 0.7889 | 0.8768 | 0.7171 |
| 0.0058 | 83.0 | 10209 | 0.0067 | 0.9975 | 0.7664 | 0.9235 | 0.6550 |
| 0.0058 | 84.0 | 10332 | 0.0063 | 0.9976 | 0.7898 | 0.8732 | 0.7209 |
| 0.0058 | 85.0 | 10455 | 0.0077 | 0.9971 | 0.7136 | 0.9545 | 0.5698 |
| 0.005 | 86.0 | 10578 | 0.0090 | 0.9971 | 0.7076 | 0.9664 | 0.5581 |
| 0.005 | 87.0 | 10701 | 0.0113 | 0.9972 | 0.7246 | 0.9615 | 0.5814 |
| 0.005 | 88.0 | 10824 | 0.0089 | 0.9973 | 0.7316 | 0.9448 | 0.5969 |
| 0.005 | 89.0 | 10947 | 0.0118 | 0.9972 | 0.7202 | 0.9673 | 0.5736 |
| 0.0048 | 90.0 | 11070 | 0.0127 | 0.9973 | 0.7338 | 0.9623 | 0.5930 |
| 0.0048 | 91.0 | 11193 | 0.0099 | 0.9974 | 0.7404 | 0.9747 | 0.5969 |
| 0.0048 | 92.0 | 11316 | 0.0107 | 0.9974 | 0.7373 | 0.9745 | 0.5930 |
| 0.0048 | 93.0 | 11439 | 0.0097 | 0.9975 | 0.7588 | 0.9586 | 0.6279 |
| 0.0046 | 94.0 | 11562 | 0.0098 | 0.9974 | 0.7523 | 0.9213 | 0.6357 |
| 0.0046 | 95.0 | 11685 | 0.0039 | 0.9986 | 0.8792 | 0.9505 | 0.8178 |
| 0.0046 | 96.0 | 11808 | 0.0037 | 0.9986 | 0.8824 | 0.9633 | 0.8140 |
| 0.0046 | 97.0 | 11931 | 0.0032 | 0.9989 | 0.9105 | 0.8951 | 0.9264 |
| 0.0037 | 98.0 | 12054 | 0.0030 | 0.9988 | 0.9052 | 0.9035 | 0.9070 |
| 0.0037 | 99.0 | 12177 | 0.0030 | 0.9989 | 0.9127 | 0.9350 | 0.8915 |
| 0.0037 | 100.0 | 12300 | 0.0030 | 0.9990 | 0.9189 | 0.9154 | 0.9225 |
| 0.0037 | 101.0 | 12423 | 0.0027 | 0.9991 | 0.924 | 0.9545 | 0.8953 |
| 0.0035 | 102.0 | 12546 | 0.0086 | 0.9984 | 0.8578 | 0.9660 | 0.7713 |
| 0.0035 | 103.0 | 12669 | 0.0084 | 0.9984 | 0.8650 | 0.9491 | 0.7946 |
| 0.0035 | 104.0 | 12792 | 0.0084 | 0.9985 | 0.8686 | 0.9579 | 0.7946 |
| 0.0035 | 105.0 | 12915 | 0.0088 | 0.9983 | 0.8530 | 0.9156 | 0.7984 |
| 0.0032 | 106.0 | 13038 | 0.0086 | 0.9983 | 0.8468 | 0.9387 | 0.7713 |
| 0.0032 | 107.0 | 13161 | 0.0025 | 0.9991 | 0.9276 | 0.9368 | 0.9186 |
| 0.0032 | 108.0 | 13284 | 0.0024 | 0.9991 | 0.9300 | 0.9336 | 0.9264 |
| 0.0032 | 109.0 | 13407 | 0.0024 | 0.9991 | 0.9261 | 0.9547 | 0.8992 |
| 0.0031 | 110.0 | 13530 | 0.0024 | 0.9991 | 0.9270 | 0.9438 | 0.9109 |
| 0.0031 | 111.0 | 13653 | 0.0023 | 0.9993 | 0.9409 | 0.956 | 0.9264 |
| 0.0031 | 112.0 | 13776 | 0.0024 | 0.9991 | 0.9294 | 0.9405 | 0.9186 |
| 0.0031 | 113.0 | 13899 | 0.0022 | 0.9993 | 0.9414 | 0.9488 | 0.9341 |
| 0.0027 | 114.0 | 14022 | 0.0021 | 0.9993 | 0.9432 | 0.9526 | 0.9341 |
| 0.0027 | 115.0 | 14145 | 0.0023 | 0.9991 | 0.9264 | 0.9510 | 0.9031 |
| 0.0027 | 116.0 | 14268 | 0.0022 | 0.9993 | 0.9425 | 0.9318 | 0.9535 |
| 0.0027 | 117.0 | 14391 | 0.0022 | 0.9991 | 0.9295 | 0.9139 | 0.9457 |
| 0.0026 | 118.0 | 14514 | 0.0020 | 0.9992 | 0.9403 | 0.9349 | 0.9457 |
| 0.0026 | 119.0 | 14637 | 0.0018 | 0.9994 | 0.9496 | 0.9496 | 0.9496 |
| 0.0026 | 120.0 | 14760 | 0.0018 | 0.9993 | 0.9478 | 0.9459 | 0.9496 |
| 0.0026 | 121.0 | 14883 | 0.0020 | 0.9993 | 0.9439 | 0.9421 | 0.9457 |
| 0.0024 | 122.0 | 15006 | 0.0021 | 0.9992 | 0.9391 | 0.9522 | 0.9264 |
| 0.0024 | 123.0 | 15129 | 0.0017 | 0.9995 | 0.9614 | 0.9577 | 0.9651 |
| 0.0024 | 124.0 | 15252 | 0.0017 | 0.9995 | 0.9595 | 0.9540 | 0.9651 |
| 0.0024 | 125.0 | 15375 | 0.0016 | 0.9995 | 0.9609 | 0.9685 | 0.9535 |
| 0.0024 | 126.0 | 15498 | 0.0018 | 0.9994 | 0.9520 | 0.9430 | 0.9612 |
| 0.0022 | 127.0 | 15621 | 0.0016 | 0.9995 | 0.9577 | 0.9504 | 0.9651 |
| 0.0022 | 128.0 | 15744 | 0.0017 | 0.9994 | 0.9557 | 0.9502 | 0.9612 |
| 0.0022 | 129.0 | 15867 | 0.0015 | 0.9996 | 0.9651 | 0.9651 | 0.9651 |
| 0.0022 | 130.0 | 15990 | 0.0015 | 0.9996 | 0.9655 | 0.9545 | 0.9767 |
| 0.002 | 131.0 | 16113 | 0.0014 | 0.9996 | 0.9670 | 0.9689 | 0.9651 |
| 0.002 | 132.0 | 16236 | 0.0015 | 0.9995 | 0.9580 | 0.9436 | 0.9729 |
| 0.002 | 133.0 | 16359 | 0.0014 | 0.9996 | 0.9690 | 0.9690 | 0.9690 |
| 0.002 | 134.0 | 16482 | 0.0013 | 0.9996 | 0.9689 | 0.9727 | 0.9651 |
| 0.0018 | 135.0 | 16605 | 0.0013 | 0.9996 | 0.9654 | 0.9580 | 0.9729 |
| 0.0018 | 136.0 | 16728 | 0.0013 | 0.9996 | 0.9650 | 0.9688 | 0.9612 |
| 0.0018 | 137.0 | 16851 | 0.0013 | 0.9996 | 0.9670 | 0.9689 | 0.9651 |
| 0.0018 | 138.0 | 16974 | 0.0012 | 0.9996 | 0.9691 | 0.9654 | 0.9729 |
| 0.0016 | 139.0 | 17097 | 0.0012 | 0.9996 | 0.9674 | 0.9582 | 0.9767 |
| 0.0016 | 140.0 | 17220 | 0.0011 | 0.9997 | 0.9750 | 0.9693 | 0.9806 |
| 0.0016 | 141.0 | 17343 | 0.0011 | 0.9998 | 0.9826 | 0.9807 | 0.9845 |
| 0.0016 | 142.0 | 17466 | 0.0011 | 0.9996 | 0.9712 | 0.9620 | 0.9806 |
| 0.0015 | 143.0 | 17589 | 0.0011 | 0.9997 | 0.9746 | 0.9842 | 0.9651 |
| 0.0015 | 144.0 | 17712 | 0.0012 | 0.9997 | 0.9752 | 0.9588 | 0.9922 |
| 0.0015 | 145.0 | 17835 | 0.0010 | 0.9997 | 0.9787 | 0.9768 | 0.9806 |
| 0.0015 | 146.0 | 17958 | 0.0009 | 0.9998 | 0.9845 | 0.9845 | 0.9845 |
| 0.0014 | 147.0 | 18081 | 0.0010 | 0.9997 | 0.9747 | 0.9804 | 0.9690 |
| 0.0014 | 148.0 | 18204 | 0.0009 | 0.9999 | 0.9883 | 0.9922 | 0.9845 |
| 0.0014 | 149.0 | 18327 | 0.0010 | 0.9997 | 0.9786 | 0.9843 | 0.9729 |
| 0.0014 | 150.0 | 18450 | 0.0009 | 0.9998 | 0.9827 | 0.9770 | 0.9884 |
| 0.0012 | 151.0 | 18573 | 0.0009 | 0.9999 | 0.9884 | 0.9884 | 0.9884 |
| 0.0012 | 152.0 | 18696 | 0.0008 | 0.9998 | 0.9864 | 0.9922 | 0.9806 |
| 0.0012 | 153.0 | 18819 | 0.0008 | 0.9999 | 0.9903 | 0.9884 | 0.9922 |
| 0.0012 | 154.0 | 18942 | 0.0008 | 0.9999 | 0.9884 | 0.9846 | 0.9922 |
| 0.0012 | 155.0 | 19065 | 0.0008 | 0.9999 | 0.9884 | 0.9846 | 0.9922 |
| 0.0012 | 156.0 | 19188 | 0.0007 | 0.9999 | 0.9885 | 0.9809 | 0.9961 |
| 0.0012 | 157.0 | 19311 | 0.0007 | 0.9999 | 0.9923 | 0.9885 | 0.9961 |
| 0.0012 | 158.0 | 19434 | 0.0007 | 0.9999 | 0.9903 | 0.9884 | 0.9922 |
| 0.001 | 159.0 | 19557 | 0.0007 | 0.9999 | 0.9884 | 0.9846 | 0.9922 |
| 0.001 | 160.0 | 19680 | 0.0007 | 0.9999 | 0.9903 | 0.9922 | 0.9884 |
| 0.001 | 161.0 | 19803 | 0.0007 | 0.9999 | 0.9922 | 0.9922 | 0.9922 |
| 0.001 | 162.0 | 19926 | 0.0006 | 0.9999 | 0.9922 | 0.9961 | 0.9884 |
| 0.0009 | 163.0 | 20049 | 0.0008 | 0.9998 | 0.9806 | 0.9806 | 0.9806 |
| 0.0009 | 164.0 | 20172 | 0.0006 | 0.9999 | 0.9903 | 0.9884 | 0.9922 |
| 0.0009 | 165.0 | 20295 | 0.0006 | 0.9999 | 0.9942 | 0.9961 | 0.9922 |
| 0.0009 | 166.0 | 20418 | 0.0006 | 1.0000 | 0.9961 | 0.9961 | 0.9961 |
| 0.0008 | 167.0 | 20541 | 0.0006 | 0.9999 | 0.9942 | 0.9923 | 0.9961 |
| 0.0008 | 168.0 | 20664 | 0.0006 | 0.9999 | 0.9922 | 0.9922 | 0.9922 |
| 0.0008 | 169.0 | 20787 | 0.0006 | 0.9999 | 0.9942 | 1.0 | 0.9884 |
| 0.0008 | 170.0 | 20910 | 0.0006 | 1.0000 | 0.9981 | 0.9961 | 1.0 |
| 0.0009 | 171.0 | 21033 | 0.0006 | 0.9999 | 0.9942 | 0.9923 | 0.9961 |
| 0.0009 | 172.0 | 21156 | 0.0005 | 1.0000 | 0.9961 | 0.9961 | 0.9961 |
| 0.0009 | 173.0 | 21279 | 0.0005 | 1.0000 | 0.9961 | 0.9961 | 0.9961 |
| 0.0009 | 174.0 | 21402 | 0.0005 | 1.0000 | 0.9961 | 0.9961 | 0.9961 |
| 0.0007 | 175.0 | 21525 | 0.0005 | 1.0000 | 0.9961 | 0.9961 | 0.9961 |
| 0.0007 | 176.0 | 21648 | 0.0005 | 1.0000 | 0.9981 | 0.9961 | 1.0 |
| 0.0007 | 177.0 | 21771 | 0.0005 | 1.0000 | 0.9961 | 0.9961 | 0.9961 |
| 0.0007 | 178.0 | 21894 | 0.0005 | 1.0000 | 0.9981 | 0.9961 | 1.0 |
| 0.0007 | 179.0 | 22017 | 0.0005 | 1.0000 | 0.9961 | 0.9961 | 0.9961 |
| 0.0007 | 180.0 | 22140 | 0.0005 | 1.0000 | 0.9981 | 0.9961 | 1.0 |
| 0.0007 | 181.0 | 22263 | 0.0005 | 1.0000 | 0.9981 | 0.9961 | 1.0 |
| 0.0007 | 182.0 | 22386 | 0.0004 | 1.0000 | 0.9981 | 0.9961 | 1.0 |
| 0.0007 | 183.0 | 22509 | 0.0004 | 1.0000 | 0.9981 | 0.9961 | 1.0 |
| 0.0007 | 184.0 | 22632 | 0.0004 | 1.0000 | 0.9981 | 0.9961 | 1.0 |
| 0.0007 | 185.0 | 22755 | 0.0005 | 1.0000 | 0.9961 | 0.9923 | 1.0 |
| 0.0007 | 186.0 | 22878 | 0.0004 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0006 | 187.0 | 23001 | 0.0004 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0006 | 188.0 | 23124 | 0.0004 | 1.0000 | 0.9981 | 0.9961 | 1.0 |
| 0.0006 | 189.0 | 23247 | 0.0004 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0006 | 190.0 | 23370 | 0.0004 | 1.0000 | 0.9981 | 0.9961 | 1.0 |
| 0.0006 | 191.0 | 23493 | 0.0004 | 1.0000 | 0.9981 | 0.9961 | 1.0 |
| 0.0006 | 192.0 | 23616 | 0.0004 | 1.0000 | 0.9981 | 0.9961 | 1.0 |
| 0.0006 | 193.0 | 23739 | 0.0004 | 1.0000 | 0.9981 | 0.9961 | 1.0 |
| 0.0006 | 194.0 | 23862 | 0.0004 | 1.0000 | 0.9981 | 0.9961 | 1.0 |
| 0.0006 | 195.0 | 23985 | 0.0004 | 1.0000 | 0.9981 | 0.9961 | 1.0 |
| 0.0006 | 196.0 | 24108 | 0.0004 | 1.0000 | 0.9981 | 0.9961 | 1.0 |
| 0.0006 | 197.0 | 24231 | 0.0004 | 1.0000 | 0.9981 | 0.9961 | 1.0 |
| 0.0006 | 198.0 | 24354 | 0.0004 | 1.0000 | 0.9981 | 0.9961 | 1.0 |
| 0.0006 | 199.0 | 24477 | 0.0004 | 1.0000 | 0.9981 | 0.9961 | 1.0 |
| 0.0006 | 200.0 | 24600 | 0.0004 | 1.0000 | 0.9981 | 0.9961 | 1.0 |
### Framework versions
- Transformers 4.39.2
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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