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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
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
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: 0.0009
- Accuracy: 0.9997
- F1: 0.9747
- Precision: 0.9747
- Recall: 0.9747
## 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 | 0.0542 | 0.9950 | 0.0 | 0.0 | 0.0 |
| No log | 2.0 | 246 | 0.0312 | 0.9950 | 0.0 | 0.0 | 0.0 |
| No log | 3.0 | 369 | 0.0299 | 0.9950 | 0.0 | 0.0 | 0.0 |
| No log | 4.0 | 492 | 0.0254 | 0.9950 | 0.0 | 0.0 | 0.0 |
| 0.0917 | 5.0 | 615 | 0.0243 | 0.9950 | 0.0 | 0.0 | 0.0 |
| 0.0917 | 6.0 | 738 | 0.0216 | 0.9950 | 0.0 | 0.0 | 0.0 |
| 0.0917 | 7.0 | 861 | 0.0205 | 0.9950 | 0.1772 | 0.5385 | 0.1061 |
| 0.0917 | 8.0 | 984 | 0.0202 | 0.9950 | 0.0 | 0.0 | 0.0 |
| 0.0233 | 9.0 | 1107 | 0.0203 | 0.9950 | 0.0 | 0.0 | 0.0 |
| 0.0233 | 10.0 | 1230 | 0.0183 | 0.9950 | 0.0 | 0.0 | 0.0 |
| 0.0233 | 11.0 | 1353 | 0.0167 | 0.9949 | 0.1532 | 0.4865 | 0.0909 |
| 0.0233 | 12.0 | 1476 | 0.0155 | 0.9961 | 0.4138 | 0.8571 | 0.2727 |
| 0.0189 | 13.0 | 1599 | 0.0168 | 0.9956 | 0.3663 | 0.6667 | 0.2525 |
| 0.0189 | 14.0 | 1722 | 0.0193 | 0.9942 | 0.2253 | 0.3474 | 0.1667 |
| 0.0189 | 15.0 | 1845 | 0.0164 | 0.9958 | 0.3265 | 0.8511 | 0.2020 |
| 0.0189 | 16.0 | 1968 | 0.0141 | 0.9961 | 0.4412 | 0.8108 | 0.3030 |
| 0.0173 | 17.0 | 2091 | 0.0160 | 0.9952 | 0.3188 | 0.5641 | 0.2222 |
| 0.0173 | 18.0 | 2214 | 0.0151 | 0.9960 | 0.4222 | 0.7917 | 0.2879 |
| 0.0173 | 19.0 | 2337 | 0.0131 | 0.9964 | 0.5086 | 0.7957 | 0.3737 |
| 0.0173 | 20.0 | 2460 | 0.0126 | 0.9963 | 0.5118 | 0.7677 | 0.3838 |
| 0.014 | 21.0 | 2583 | 0.0122 | 0.9963 | 0.5068 | 0.7872 | 0.3737 |
| 0.014 | 22.0 | 2706 | 0.0118 | 0.9965 | 0.5018 | 0.8642 | 0.3535 |
| 0.014 | 23.0 | 2829 | 0.0114 | 0.9967 | 0.6066 | 0.7481 | 0.5101 |
| 0.014 | 24.0 | 2952 | 0.0110 | 0.9967 | 0.5868 | 0.7815 | 0.4697 |
| 0.0128 | 25.0 | 3075 | 0.0111 | 0.9967 | 0.5841 | 0.7863 | 0.4646 |
| 0.0128 | 26.0 | 3198 | 0.0110 | 0.9966 | 0.5263 | 0.8621 | 0.3788 |
| 0.0128 | 27.0 | 3321 | 0.0110 | 0.9967 | 0.6084 | 0.7537 | 0.5101 |
| 0.0128 | 28.0 | 3444 | 0.0102 | 0.9969 | 0.6277 | 0.8031 | 0.5152 |
| 0.0118 | 29.0 | 3567 | 0.0098 | 0.9969 | 0.6019 | 0.8378 | 0.4697 |
| 0.0118 | 30.0 | 3690 | 0.0097 | 0.9971 | 0.6349 | 0.8547 | 0.5051 |
| 0.0118 | 31.0 | 3813 | 0.0098 | 0.9970 | 0.6361 | 0.8062 | 0.5253 |
| 0.0118 | 32.0 | 3936 | 0.0096 | 0.9969 | 0.6591 | 0.7532 | 0.5859 |
| 0.0105 | 33.0 | 4059 | 0.0089 | 0.9971 | 0.6415 | 0.85 | 0.5152 |
| 0.0105 | 34.0 | 4182 | 0.0093 | 0.9971 | 0.6686 | 0.7877 | 0.5808 |
| 0.0105 | 35.0 | 4305 | 0.0089 | 0.9969 | 0.6630 | 0.7317 | 0.6061 |
| 0.0105 | 36.0 | 4428 | 0.0083 | 0.9972 | 0.6746 | 0.8143 | 0.5758 |
| 0.0093 | 37.0 | 4551 | 0.0084 | 0.9971 | 0.6566 | 0.8134 | 0.5505 |
| 0.0093 | 38.0 | 4674 | 0.0081 | 0.9971 | 0.6326 | 0.8609 | 0.5 |
| 0.0093 | 39.0 | 4797 | 0.0087 | 0.9970 | 0.6507 | 0.7956 | 0.5505 |
| 0.0093 | 40.0 | 4920 | 0.0080 | 0.9972 | 0.6707 | 0.8235 | 0.5657 |
| 0.0097 | 41.0 | 5043 | 0.0077 | 0.9972 | 0.6744 | 0.7945 | 0.5859 |
| 0.0097 | 42.0 | 5166 | 0.0074 | 0.9973 | 0.6899 | 0.8095 | 0.6010 |
| 0.0097 | 43.0 | 5289 | 0.0071 | 0.9974 | 0.7038 | 0.8392 | 0.6061 |
| 0.0097 | 44.0 | 5412 | 0.0071 | 0.9975 | 0.7110 | 0.8311 | 0.6212 |
| 0.0082 | 45.0 | 5535 | 0.0070 | 0.9975 | 0.7024 | 0.8551 | 0.5960 |
| 0.0082 | 46.0 | 5658 | 0.0071 | 0.9975 | 0.7110 | 0.8311 | 0.6212 |
| 0.0082 | 47.0 | 5781 | 0.0070 | 0.9975 | 0.7293 | 0.8049 | 0.6667 |
| 0.0082 | 48.0 | 5904 | 0.0068 | 0.9975 | 0.7317 | 0.7895 | 0.6818 |
| 0.0078 | 49.0 | 6027 | 0.0066 | 0.9976 | 0.7360 | 0.8291 | 0.6616 |
| 0.0078 | 50.0 | 6150 | 0.0086 | 0.9969 | 0.6192 | 0.8 | 0.5051 |
| 0.0078 | 51.0 | 6273 | 0.0066 | 0.9976 | 0.7466 | 0.8107 | 0.6919 |
| 0.0078 | 52.0 | 6396 | 0.0066 | 0.9975 | 0.7332 | 0.7861 | 0.6869 |
| 0.0073 | 53.0 | 6519 | 0.0087 | 0.9971 | 0.6761 | 0.7643 | 0.6061 |
| 0.0073 | 54.0 | 6642 | 0.0061 | 0.9976 | 0.7339 | 0.8239 | 0.6616 |
| 0.0073 | 55.0 | 6765 | 0.0063 | 0.9975 | 0.7351 | 0.7907 | 0.6869 |
| 0.0073 | 56.0 | 6888 | 0.0059 | 0.9977 | 0.7479 | 0.8282 | 0.6818 |
| 0.007 | 57.0 | 7011 | 0.0059 | 0.9977 | 0.7437 | 0.8408 | 0.6667 |
| 0.007 | 58.0 | 7134 | 0.0058 | 0.9977 | 0.7479 | 0.8516 | 0.6667 |
| 0.007 | 59.0 | 7257 | 0.0091 | 0.9973 | 0.6969 | 0.7935 | 0.6212 |
| 0.007 | 60.0 | 7380 | 0.0058 | 0.9979 | 0.7705 | 0.8393 | 0.7121 |
| 0.0069 | 61.0 | 7503 | 0.0055 | 0.9979 | 0.7742 | 0.8276 | 0.7273 |
| 0.0069 | 62.0 | 7626 | 0.0054 | 0.9979 | 0.7726 | 0.8443 | 0.7121 |
| 0.0069 | 63.0 | 7749 | 0.0062 | 0.9976 | 0.7368 | 0.8160 | 0.6717 |
| 0.0069 | 64.0 | 7872 | 0.0053 | 0.9979 | 0.7828 | 0.8343 | 0.7374 |
| 0.0069 | 65.0 | 7995 | 0.0051 | 0.9979 | 0.7738 | 0.8402 | 0.7172 |
| 0.0061 | 66.0 | 8118 | 0.0048 | 0.9981 | 0.7956 | 0.8639 | 0.7374 |
| 0.0061 | 67.0 | 8241 | 0.0051 | 0.9980 | 0.7892 | 0.8488 | 0.7374 |
| 0.0061 | 68.0 | 8364 | 0.0052 | 0.9980 | 0.8 | 0.8235 | 0.7778 |
| 0.0061 | 69.0 | 8487 | 0.0048 | 0.9981 | 0.8011 | 0.8698 | 0.7424 |
| 0.0055 | 70.0 | 8610 | 0.0048 | 0.9982 | 0.8128 | 0.8636 | 0.7677 |
| 0.0055 | 71.0 | 8733 | 0.0048 | 0.9979 | 0.7874 | 0.8197 | 0.7576 |
| 0.0055 | 72.0 | 8856 | 0.0044 | 0.9983 | 0.8207 | 0.8882 | 0.7626 |
| 0.0055 | 73.0 | 8979 | 0.0047 | 0.9981 | 0.8063 | 0.8370 | 0.7778 |
| 0.0051 | 74.0 | 9102 | 0.0045 | 0.9982 | 0.8196 | 0.8368 | 0.8030 |
| 0.0051 | 75.0 | 9225 | 0.0046 | 0.9982 | 0.8130 | 0.8772 | 0.7576 |
| 0.0051 | 76.0 | 9348 | 0.0045 | 0.9982 | 0.8158 | 0.8516 | 0.7828 |
| 0.0051 | 77.0 | 9471 | 0.0042 | 0.9983 | 0.8213 | 0.8701 | 0.7778 |
| 0.0051 | 78.0 | 9594 | 0.0049 | 0.9981 | 0.7989 | 0.8389 | 0.7626 |
| 0.0051 | 79.0 | 9717 | 0.0043 | 0.9983 | 0.8320 | 0.8519 | 0.8131 |
| 0.0051 | 80.0 | 9840 | 0.0051 | 0.9981 | 0.8032 | 0.8613 | 0.7525 |
| 0.0051 | 81.0 | 9963 | 0.0040 | 0.9984 | 0.8325 | 0.8641 | 0.8030 |
| 0.0049 | 82.0 | 10086 | 0.0040 | 0.9986 | 0.8527 | 0.8730 | 0.8333 |
| 0.0049 | 83.0 | 10209 | 0.0039 | 0.9986 | 0.8571 | 0.8824 | 0.8333 |
| 0.0049 | 84.0 | 10332 | 0.0037 | 0.9986 | 0.8549 | 0.8777 | 0.8333 |
| 0.0049 | 85.0 | 10455 | 0.0037 | 0.9986 | 0.8519 | 0.8944 | 0.8131 |
| 0.0043 | 86.0 | 10578 | 0.0037 | 0.9988 | 0.8794 | 0.875 | 0.8838 |
| 0.0043 | 87.0 | 10701 | 0.0037 | 0.9987 | 0.8722 | 0.8657 | 0.8788 |
| 0.0043 | 88.0 | 10824 | 0.0036 | 0.9986 | 0.8629 | 0.8673 | 0.8586 |
| 0.0043 | 89.0 | 10947 | 0.0036 | 0.9987 | 0.8724 | 0.8814 | 0.8636 |
| 0.004 | 90.0 | 11070 | 0.0037 | 0.9985 | 0.8483 | 0.8639 | 0.8333 |
| 0.004 | 91.0 | 11193 | 0.0033 | 0.9988 | 0.8747 | 0.8860 | 0.8636 |
| 0.004 | 92.0 | 11316 | 0.0034 | 0.9986 | 0.8586 | 0.8913 | 0.8283 |
| 0.004 | 93.0 | 11439 | 0.0037 | 0.9987 | 0.8744 | 0.87 | 0.8788 |
| 0.0041 | 94.0 | 11562 | 0.0034 | 0.9987 | 0.8675 | 0.8930 | 0.8434 |
| 0.0041 | 95.0 | 11685 | 0.0032 | 0.9989 | 0.8928 | 0.8818 | 0.9040 |
| 0.0041 | 96.0 | 11808 | 0.0032 | 0.9988 | 0.8832 | 0.8878 | 0.8788 |
| 0.0041 | 97.0 | 11931 | 0.0034 | 0.9987 | 0.8667 | 0.8802 | 0.8535 |
| 0.0036 | 98.0 | 12054 | 0.0033 | 0.9988 | 0.8804 | 0.8872 | 0.8737 |
| 0.0036 | 99.0 | 12177 | 0.0031 | 0.9989 | 0.8889 | 0.8889 | 0.8889 |
| 0.0036 | 100.0 | 12300 | 0.0030 | 0.9989 | 0.8945 | 0.89 | 0.8990 |
| 0.0036 | 101.0 | 12423 | 0.0029 | 0.9989 | 0.8917 | 0.8894 | 0.8939 |
| 0.0036 | 102.0 | 12546 | 0.0030 | 0.9989 | 0.8878 | 0.8768 | 0.8990 |
| 0.0036 | 103.0 | 12669 | 0.0029 | 0.9990 | 0.8995 | 0.895 | 0.9040 |
| 0.0036 | 104.0 | 12792 | 0.0029 | 0.9989 | 0.8894 | 0.885 | 0.8939 |
| 0.0036 | 105.0 | 12915 | 0.0029 | 0.9988 | 0.8747 | 0.8860 | 0.8636 |
| 0.0033 | 106.0 | 13038 | 0.0029 | 0.9990 | 0.9 | 0.8911 | 0.9091 |
| 0.0033 | 107.0 | 13161 | 0.0026 | 0.9990 | 0.8951 | 0.9067 | 0.8838 |
| 0.0033 | 108.0 | 13284 | 0.0038 | 0.9987 | 0.8651 | 0.8718 | 0.8586 |
| 0.0033 | 109.0 | 13407 | 0.0032 | 0.9988 | 0.8766 | 0.8744 | 0.8788 |
| 0.0033 | 110.0 | 13530 | 0.0028 | 0.9990 | 0.9018 | 0.8995 | 0.9040 |
| 0.0033 | 111.0 | 13653 | 0.0032 | 0.9987 | 0.8744 | 0.87 | 0.8788 |
| 0.0033 | 112.0 | 13776 | 0.0028 | 0.9990 | 0.9003 | 0.9119 | 0.8889 |
| 0.0033 | 113.0 | 13899 | 0.0029 | 0.9990 | 0.8985 | 0.9031 | 0.8939 |
| 0.0035 | 114.0 | 14022 | 0.0026 | 0.9991 | 0.9086 | 0.9133 | 0.9040 |
| 0.0035 | 115.0 | 14145 | 0.0026 | 0.9991 | 0.9132 | 0.8976 | 0.9293 |
| 0.0035 | 116.0 | 14268 | 0.0024 | 0.9991 | 0.9154 | 0.9020 | 0.9293 |
| 0.0035 | 117.0 | 14391 | 0.0024 | 0.9991 | 0.9118 | 0.9095 | 0.9141 |
| 0.0027 | 118.0 | 14514 | 0.0024 | 0.9992 | 0.9177 | 0.9064 | 0.9293 |
| 0.0027 | 119.0 | 14637 | 0.0023 | 0.9991 | 0.9123 | 0.9055 | 0.9192 |
| 0.0027 | 120.0 | 14760 | 0.0024 | 0.9990 | 0.8957 | 0.9026 | 0.8889 |
| 0.0027 | 121.0 | 14883 | 0.0023 | 0.9991 | 0.915 | 0.9059 | 0.9242 |
| 0.0027 | 122.0 | 15006 | 0.0023 | 0.9991 | 0.9132 | 0.8976 | 0.9293 |
| 0.0027 | 123.0 | 15129 | 0.0023 | 0.9992 | 0.9165 | 0.9188 | 0.9141 |
| 0.0027 | 124.0 | 15252 | 0.0028 | 0.9989 | 0.8911 | 0.8738 | 0.9091 |
| 0.0027 | 125.0 | 15375 | 0.0022 | 0.9992 | 0.9177 | 0.9064 | 0.9293 |
| 0.0027 | 126.0 | 15498 | 0.0023 | 0.9991 | 0.9114 | 0.9137 | 0.9091 |
| 0.0027 | 127.0 | 15621 | 0.0022 | 0.9992 | 0.92 | 0.9109 | 0.9293 |
| 0.0027 | 128.0 | 15744 | 0.0021 | 0.9992 | 0.9227 | 0.9113 | 0.9343 |
| 0.0027 | 129.0 | 15867 | 0.0022 | 0.9991 | 0.9068 | 0.9045 | 0.9091 |
| 0.0027 | 130.0 | 15990 | 0.0021 | 0.9992 | 0.9204 | 0.9069 | 0.9343 |
| 0.0025 | 131.0 | 16113 | 0.0021 | 0.9992 | 0.9181 | 0.9024 | 0.9343 |
| 0.0025 | 132.0 | 16236 | 0.0023 | 0.9991 | 0.9086 | 0.8889 | 0.9293 |
| 0.0025 | 133.0 | 16359 | 0.0020 | 0.9992 | 0.9208 | 0.9029 | 0.9394 |
| 0.0025 | 134.0 | 16482 | 0.0019 | 0.9992 | 0.9246 | 0.92 | 0.9293 |
| 0.0025 | 135.0 | 16605 | 0.0019 | 0.9993 | 0.9270 | 0.9246 | 0.9293 |
| 0.0025 | 136.0 | 16728 | 0.0019 | 0.9992 | 0.9231 | 0.9073 | 0.9394 |
| 0.0025 | 137.0 | 16851 | 0.0018 | 0.9993 | 0.9277 | 0.9163 | 0.9394 |
| 0.0025 | 138.0 | 16974 | 0.0019 | 0.9992 | 0.9177 | 0.9064 | 0.9293 |
| 0.0022 | 139.0 | 17097 | 0.0018 | 0.9992 | 0.9211 | 0.9282 | 0.9141 |
| 0.0022 | 140.0 | 17220 | 0.0018 | 0.9993 | 0.9323 | 0.9254 | 0.9394 |
| 0.0022 | 141.0 | 17343 | 0.0018 | 0.9993 | 0.935 | 0.9257 | 0.9444 |
| 0.0022 | 142.0 | 17466 | 0.0019 | 0.9992 | 0.9203 | 0.9372 | 0.9040 |
| 0.0021 | 143.0 | 17589 | 0.0017 | 0.9993 | 0.9289 | 0.9337 | 0.9242 |
| 0.0021 | 144.0 | 17712 | 0.0021 | 0.9992 | 0.9223 | 0.9154 | 0.9293 |
| 0.0021 | 145.0 | 17835 | 0.0021 | 0.9992 | 0.9165 | 0.9188 | 0.9141 |
| 0.0021 | 146.0 | 17958 | 0.0019 | 0.9993 | 0.9277 | 0.9163 | 0.9394 |
| 0.0023 | 147.0 | 18081 | 0.0019 | 0.9993 | 0.93 | 0.9208 | 0.9394 |
| 0.0023 | 148.0 | 18204 | 0.0017 | 0.9994 | 0.9373 | 0.9303 | 0.9444 |
| 0.0023 | 149.0 | 18327 | 0.0017 | 0.9993 | 0.9273 | 0.9204 | 0.9343 |
| 0.0023 | 150.0 | 18450 | 0.0018 | 0.9993 | 0.9306 | 0.9476 | 0.9141 |
| 0.002 | 151.0 | 18573 | 0.0032 | 0.9993 | 0.9286 | 0.9381 | 0.9192 |
| 0.002 | 152.0 | 18696 | 0.0016 | 0.9993 | 0.9340 | 0.9388 | 0.9293 |
| 0.002 | 153.0 | 18819 | 0.0017 | 0.9993 | 0.9323 | 0.9254 | 0.9394 |
| 0.002 | 154.0 | 18942 | 0.0017 | 0.9994 | 0.9364 | 0.9436 | 0.9293 |
| 0.0021 | 155.0 | 19065 | 0.0019 | 0.9993 | 0.9273 | 0.9204 | 0.9343 |
| 0.0021 | 156.0 | 19188 | 0.0016 | 0.9995 | 0.9460 | 0.9634 | 0.9293 |
| 0.0021 | 157.0 | 19311 | 0.0015 | 0.9995 | 0.9490 | 0.9588 | 0.9394 |
| 0.0021 | 158.0 | 19434 | 0.0015 | 0.9994 | 0.9442 | 0.9490 | 0.9394 |
| 0.0017 | 159.0 | 19557 | 0.0019 | 0.9993 | 0.9267 | 0.9620 | 0.8939 |
| 0.0017 | 160.0 | 19680 | 0.0014 | 0.9994 | 0.9418 | 0.9442 | 0.9394 |
| 0.0017 | 161.0 | 19803 | 0.0016 | 0.9994 | 0.9388 | 0.9485 | 0.9293 |
| 0.0017 | 162.0 | 19926 | 0.0014 | 0.9995 | 0.9460 | 0.9634 | 0.9293 |
| 0.0017 | 163.0 | 20049 | 0.0014 | 0.9995 | 0.9490 | 0.9588 | 0.9394 |
| 0.0017 | 164.0 | 20172 | 0.0013 | 0.9996 | 0.9567 | 0.9641 | 0.9495 |
| 0.0017 | 165.0 | 20295 | 0.0013 | 0.9994 | 0.9444 | 0.9444 | 0.9444 |
| 0.0017 | 166.0 | 20418 | 0.0014 | 0.9995 | 0.9519 | 0.9543 | 0.9495 |
| 0.0016 | 167.0 | 20541 | 0.0014 | 0.9994 | 0.9444 | 0.9444 | 0.9444 |
| 0.0016 | 168.0 | 20664 | 0.0013 | 0.9995 | 0.9460 | 0.9634 | 0.9293 |
| 0.0016 | 169.0 | 20787 | 0.0012 | 0.9996 | 0.9618 | 0.9692 | 0.9545 |
| 0.0016 | 170.0 | 20910 | 0.0013 | 0.9995 | 0.9487 | 0.9635 | 0.9343 |
| 0.0015 | 171.0 | 21033 | 0.0012 | 0.9996 | 0.9592 | 0.9691 | 0.9495 |
| 0.0015 | 172.0 | 21156 | 0.0013 | 0.9995 | 0.9455 | 0.9733 | 0.9192 |
| 0.0015 | 173.0 | 21279 | 0.0015 | 0.9995 | 0.9538 | 0.9688 | 0.9394 |
| 0.0015 | 174.0 | 21402 | 0.0012 | 0.9996 | 0.9620 | 0.9645 | 0.9596 |
| 0.0015 | 175.0 | 21525 | 0.0011 | 0.9996 | 0.9567 | 0.9641 | 0.9495 |
| 0.0015 | 176.0 | 21648 | 0.0011 | 0.9996 | 0.9648 | 0.96 | 0.9697 |
| 0.0015 | 177.0 | 21771 | 0.0011 | 0.9996 | 0.9622 | 0.9598 | 0.9646 |
| 0.0015 | 178.0 | 21894 | 0.0011 | 0.9996 | 0.9648 | 0.96 | 0.9697 |
| 0.0014 | 179.0 | 22017 | 0.0011 | 0.9995 | 0.9541 | 0.9639 | 0.9444 |
| 0.0014 | 180.0 | 22140 | 0.0011 | 0.9997 | 0.9671 | 0.9695 | 0.9646 |
| 0.0014 | 181.0 | 22263 | 0.0010 | 0.9996 | 0.9643 | 0.9742 | 0.9545 |
| 0.0014 | 182.0 | 22386 | 0.0010 | 0.9997 | 0.9694 | 0.9794 | 0.9596 |
| 0.0013 | 183.0 | 22509 | 0.0010 | 0.9997 | 0.9747 | 0.9747 | 0.9747 |
| 0.0013 | 184.0 | 22632 | 0.0011 | 0.9996 | 0.9622 | 0.9598 | 0.9646 |
| 0.0013 | 185.0 | 22755 | 0.0010 | 0.9997 | 0.9747 | 0.9747 | 0.9747 |
| 0.0013 | 186.0 | 22878 | 0.0010 | 0.9998 | 0.9772 | 0.9797 | 0.9747 |
| 0.0012 | 187.0 | 23001 | 0.0010 | 0.9998 | 0.9772 | 0.9797 | 0.9747 |
| 0.0012 | 188.0 | 23124 | 0.0009 | 0.9997 | 0.9746 | 0.9796 | 0.9697 |
| 0.0012 | 189.0 | 23247 | 0.0009 | 0.9997 | 0.9746 | 0.9796 | 0.9697 |
| 0.0012 | 190.0 | 23370 | 0.0009 | 0.9997 | 0.9746 | 0.9796 | 0.9697 |
| 0.0012 | 191.0 | 23493 | 0.0009 | 0.9997 | 0.9746 | 0.9796 | 0.9697 |
| 0.0012 | 192.0 | 23616 | 0.0009 | 0.9997 | 0.9695 | 0.9745 | 0.9646 |
| 0.0012 | 193.0 | 23739 | 0.0009 | 0.9997 | 0.9747 | 0.9747 | 0.9747 |
| 0.0012 | 194.0 | 23862 | 0.0009 | 0.9997 | 0.9722 | 0.9746 | 0.9697 |
| 0.0012 | 195.0 | 23985 | 0.0009 | 0.9998 | 0.9772 | 0.9797 | 0.9747 |
| 0.0012 | 196.0 | 24108 | 0.0009 | 0.9997 | 0.9747 | 0.9747 | 0.9747 |
| 0.0012 | 197.0 | 24231 | 0.0009 | 0.9997 | 0.9747 | 0.9747 | 0.9747 |
| 0.0012 | 198.0 | 24354 | 0.0009 | 0.9997 | 0.9747 | 0.9747 | 0.9747 |
| 0.0012 | 199.0 | 24477 | 0.0009 | 0.9997 | 0.9747 | 0.9747 | 0.9747 |
| 0.0011 | 200.0 | 24600 | 0.0009 | 0.9997 | 0.9747 | 0.9747 | 0.9747 |
### Framework versions
- Transformers 4.39.2
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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