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library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ht-stmpnet-cls-v5_ftis_noPretrain
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. -->
# ht-stmpnet-cls-v5_ftis_noPretrain
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0546
- Accuracy: 0.9066
- Macro F1: 0.7603
## 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: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 6731
- training_steps: 134625
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 |
|:-------------:|:--------:|:-----:|:---------------:|:--------:|:--------:|
| 57.2411 | 0.0010 | 134 | 48.1282 | 0.1502 | 0.0407 |
| 26.3117 | 1.0010 | 268 | 134.1827 | 0.2457 | 0.0627 |
| 7.8677 | 2.0010 | 402 | 298.0198 | 0.5171 | 0.1341 |
| 6.4453 | 3.0010 | 536 | 241.7373 | 0.5618 | 0.1465 |
| 5.7397 | 4.0010 | 670 | 247.9332 | 0.5857 | 0.1514 |
| 4.9305 | 5.0010 | 804 | 215.6535 | 0.6001 | 0.1522 |
| 4.3836 | 6.0010 | 938 | 147.2826 | 0.5896 | 0.1585 |
| 3.6308 | 7.0009 | 1072 | 97.0444 | 0.6152 | 0.1682 |
| 2.9268 | 8.0009 | 1206 | 72.0529 | 0.6139 | 0.1697 |
| 2.7668 | 9.0009 | 1340 | 53.0436 | 0.5893 | 0.1672 |
| 2.4926 | 10.0009 | 1474 | 38.8328 | 0.6293 | 0.1739 |
| 2.4013 | 11.0009 | 1608 | 27.0263 | 0.6272 | 0.1815 |
| 2.3357 | 12.0009 | 1742 | 22.0645 | 0.6472 | 0.1957 |
| 2.2034 | 13.0009 | 1876 | 16.5040 | 0.6499 | 0.2254 |
| 2.0563 | 14.0009 | 2010 | 13.6849 | 0.6659 | 0.2370 |
| 2.0094 | 15.0009 | 2144 | 10.8709 | 0.6706 | 0.2457 |
| 2.1506 | 16.0009 | 2278 | 9.1181 | 0.6747 | 0.2460 |
| 1.9314 | 17.0009 | 2412 | 8.4932 | 0.6747 | 0.2538 |
| 1.8992 | 18.0009 | 2546 | 7.0325 | 0.6633 | 0.2605 |
| 1.8535 | 19.0009 | 2680 | 5.6560 | 0.7038 | 0.3071 |
| 1.6335 | 20.0008 | 2814 | 5.3615 | 0.6776 | 0.2932 |
| 1.6941 | 21.0008 | 2948 | 4.9919 | 0.7186 | 0.3186 |
| 1.5084 | 22.0008 | 3082 | 3.9574 | 0.7520 | 0.3696 |
| 1.4719 | 23.0008 | 3216 | 4.5916 | 0.7297 | 0.3547 |
| 1.3212 | 24.0008 | 3350 | 3.6468 | 0.7594 | 0.3713 |
| 1.307 | 25.0008 | 3484 | 3.5237 | 0.7587 | 0.4024 |
| 1.2214 | 26.0008 | 3618 | 3.4575 | 0.7792 | 0.4304 |
| 1.1814 | 27.0008 | 3752 | 3.1667 | 0.7846 | 0.4262 |
| 1.1466 | 28.0008 | 3886 | 3.3405 | 0.7968 | 0.4724 |
| 0.9577 | 29.0008 | 4020 | 3.1583 | 0.8071 | 0.4819 |
| 0.9267 | 30.0008 | 4154 | 3.0275 | 0.8058 | 0.4879 |
| 0.8851 | 31.0008 | 4288 | 3.5392 | 0.7986 | 0.5143 |
| 0.882 | 32.0008 | 4422 | 3.5224 | 0.8246 | 0.5507 |
| 0.8407 | 33.0008 | 4556 | 3.0531 | 0.8092 | 0.5276 |
| 0.8248 | 34.0007 | 4690 | 4.0564 | 0.8231 | 0.5266 |
| 0.7755 | 35.0007 | 4824 | 3.5834 | 0.8190 | 0.5663 |
| 0.7592 | 36.0007 | 4958 | 3.4173 | 0.8171 | 0.5549 |
| 0.6661 | 37.0007 | 5092 | 4.2197 | 0.8166 | 0.5710 |
| 0.6603 | 38.0007 | 5226 | 3.9674 | 0.8343 | 0.6002 |
| 0.6384 | 39.0007 | 5360 | 4.4058 | 0.8252 | 0.5720 |
| 0.5631 | 40.0007 | 5494 | 4.3746 | 0.8314 | 0.5936 |
| 0.5528 | 41.0007 | 5628 | 4.7360 | 0.8341 | 0.6066 |
| 0.5039 | 42.0007 | 5762 | 5.0756 | 0.8155 | 0.6062 |
| 0.4904 | 43.0007 | 5896 | 6.0930 | 0.8363 | 0.6133 |
| 0.5101 | 44.0007 | 6030 | 5.2076 | 0.8365 | 0.6182 |
| 0.4392 | 45.0007 | 6164 | 4.9944 | 0.8417 | 0.6172 |
| 0.4116 | 46.0007 | 6298 | 6.3981 | 0.8488 | 0.6288 |
| 0.4168 | 47.0006 | 6432 | 7.5452 | 0.8294 | 0.6278 |
| 0.4136 | 48.0006 | 6566 | 8.0047 | 0.8293 | 0.6256 |
| 0.3775 | 49.0006 | 6700 | 8.4309 | 0.8466 | 0.6341 |
| 0.3729 | 50.0006 | 6834 | 8.7770 | 0.8467 | 0.6450 |
| 0.3654 | 51.0006 | 6968 | 7.8225 | 0.8575 | 0.6527 |
| 0.3043 | 52.0006 | 7102 | 9.8550 | 0.8492 | 0.6278 |
| 0.3225 | 53.0006 | 7236 | 10.5254 | 0.8502 | 0.6454 |
| 0.2717 | 54.0006 | 7370 | 10.5405 | 0.8583 | 0.6569 |
| 0.2745 | 55.0006 | 7504 | 8.6422 | 0.8634 | 0.6624 |
| 0.252 | 56.0006 | 7638 | 9.4328 | 0.8654 | 0.6664 |
| 0.2307 | 57.0006 | 7772 | 10.4982 | 0.8560 | 0.6586 |
| 0.2361 | 58.0006 | 7906 | 11.1792 | 0.8631 | 0.6675 |
| 0.2304 | 59.0006 | 8040 | 10.1655 | 0.8653 | 0.6652 |
| 0.2344 | 60.0005 | 8174 | 9.3294 | 0.8667 | 0.6753 |
| 0.1947 | 61.0005 | 8308 | 11.4413 | 0.8581 | 0.6602 |
| 0.1962 | 62.0005 | 8442 | 13.8753 | 0.8653 | 0.6728 |
| 0.1785 | 63.0005 | 8576 | 12.1937 | 0.8702 | 0.6782 |
| 0.183 | 64.0005 | 8710 | 10.9347 | 0.8686 | 0.6805 |
| 0.1541 | 65.0005 | 8844 | 11.0915 | 0.8728 | 0.6777 |
| 0.1626 | 66.0005 | 8978 | 9.4917 | 0.8706 | 0.6839 |
| 0.1488 | 67.0005 | 9112 | 8.4089 | 0.8756 | 0.6876 |
| 0.1582 | 68.0005 | 9246 | 11.5104 | 0.8746 | 0.6877 |
| 0.1478 | 69.0005 | 9380 | 9.4014 | 0.8762 | 0.6853 |
| 0.1274 | 70.0005 | 9514 | 7.7970 | 0.8743 | 0.6859 |
| 0.1433 | 71.0005 | 9648 | 9.0243 | 0.8763 | 0.6928 |
| 0.1304 | 72.0005 | 9782 | 8.3959 | 0.8717 | 0.6854 |
| 0.1069 | 73.0005 | 9916 | 10.1263 | 0.8731 | 0.6948 |
| 0.1047 | 74.0004 | 10050 | 10.3105 | 0.8758 | 0.6964 |
| 0.1029 | 75.0004 | 10184 | 10.1299 | 0.8736 | 0.6971 |
| 0.0976 | 76.0004 | 10318 | 11.6986 | 0.8775 | 0.6949 |
| 0.1021 | 77.0004 | 10452 | 7.3299 | 0.8780 | 0.6969 |
| 0.098 | 78.0004 | 10586 | 7.0581 | 0.8832 | 0.7053 |
| 0.0869 | 79.0004 | 10720 | 7.9583 | 0.8735 | 0.6948 |
| 0.086 | 80.0004 | 10854 | 6.9579 | 0.8787 | 0.7042 |
| 0.0888 | 81.0004 | 10988 | 6.4546 | 0.8804 | 0.6985 |
| 0.0846 | 82.0004 | 11122 | 8.3227 | 0.8802 | 0.6994 |
| 0.0794 | 83.0004 | 11256 | 6.2773 | 0.8795 | 0.6974 |
| 0.074 | 84.0004 | 11390 | 6.5176 | 0.8774 | 0.7037 |
| 0.0683 | 85.0004 | 11524 | 7.1247 | 0.8812 | 0.7045 |
| 0.0706 | 86.0004 | 11658 | 6.2593 | 0.8714 | 0.7016 |
| 0.0752 | 87.0003 | 11792 | 6.0435 | 0.8832 | 0.6999 |
| 0.066 | 88.0003 | 11926 | 5.3773 | 0.8828 | 0.7046 |
| 0.0617 | 89.0003 | 12060 | 5.4743 | 0.8816 | 0.7058 |
| 0.0683 | 90.0003 | 12194 | 4.1337 | 0.8873 | 0.7096 |
| 0.0617 | 91.0003 | 12328 | 4.4415 | 0.8842 | 0.7129 |
| 0.0577 | 92.0003 | 12462 | 5.8869 | 0.8797 | 0.7109 |
| 0.0605 | 93.0003 | 12596 | 4.3467 | 0.8875 | 0.7150 |
| 0.0579 | 94.0003 | 12730 | 4.8355 | 0.8823 | 0.7074 |
| 0.0617 | 95.0003 | 12864 | 4.2854 | 0.8832 | 0.7124 |
| 0.0538 | 96.0003 | 12998 | 5.4158 | 0.8858 | 0.7140 |
| 0.0486 | 97.0003 | 13132 | 4.5717 | 0.8788 | 0.7052 |
| 0.05 | 98.0003 | 13266 | 4.6220 | 0.8854 | 0.7060 |
| 0.0465 | 99.0003 | 13400 | 4.7468 | 0.8809 | 0.7097 |
| 0.0426 | 100.0003 | 13534 | 4.7911 | 0.8902 | 0.7248 |
| 0.0405 | 101.0002 | 13668 | 4.4921 | 0.8850 | 0.7180 |
| 0.0457 | 102.0002 | 13802 | 4.4764 | 0.8821 | 0.7110 |
| 0.0551 | 103.0002 | 13936 | 4.4050 | 0.8822 | 0.7120 |
| 0.0513 | 104.0002 | 14070 | 5.5184 | 0.8842 | 0.7167 |
| 0.049 | 105.0002 | 14204 | 3.7660 | 0.8862 | 0.7144 |
| 0.0359 | 106.0002 | 14338 | 3.8898 | 0.8882 | 0.7146 |
| 0.0429 | 107.0002 | 14472 | 3.8001 | 0.8853 | 0.7162 |
| 0.0459 | 108.0002 | 14606 | 4.2187 | 0.8864 | 0.7200 |
| 0.0368 | 109.0002 | 14740 | 3.2633 | 0.8868 | 0.7217 |
| 0.0399 | 110.0002 | 14874 | 4.0445 | 0.8883 | 0.7236 |
| 0.0412 | 111.0002 | 15008 | 3.0764 | 0.8842 | 0.7163 |
| 0.0367 | 112.0002 | 15142 | 2.9909 | 0.8888 | 0.7191 |
| 0.0447 | 113.0002 | 15276 | 3.3596 | 0.8845 | 0.7173 |
| 0.0498 | 114.0001 | 15410 | 3.2358 | 0.8893 | 0.7204 |
| 0.0434 | 115.0001 | 15544 | 3.6316 | 0.8892 | 0.7216 |
| 0.0303 | 116.0001 | 15678 | 3.4604 | 0.8870 | 0.7231 |
| 0.0324 | 117.0001 | 15812 | 4.2350 | 0.8878 | 0.7268 |
| 0.0285 | 118.0001 | 15946 | 3.4594 | 0.8906 | 0.7243 |
| 0.0278 | 119.0001 | 16080 | 3.2241 | 0.8901 | 0.7287 |
| 0.0321 | 120.0001 | 16214 | 3.4182 | 0.8889 | 0.7240 |
| 0.0378 | 121.0001 | 16348 | 3.3749 | 0.8900 | 0.7288 |
| 0.0408 | 122.0001 | 16482 | 3.4872 | 0.8838 | 0.7135 |
| 0.0356 | 123.0001 | 16616 | 3.1642 | 0.8859 | 0.7186 |
| 0.0387 | 124.0001 | 16750 | 4.4308 | 0.8884 | 0.7207 |
| 0.0298 | 125.0001 | 16884 | 3.2343 | 0.8904 | 0.7264 |
| 0.0308 | 126.0001 | 17018 | 3.5812 | 0.8891 | 0.7264 |
| 0.0367 | 127.0001 | 17152 | 3.2693 | 0.8886 | 0.7186 |
| 0.0369 | 128.0000 | 17286 | 3.5343 | 0.8885 | 0.7210 |
| 0.0297 | 129.0000 | 17420 | 3.2665 | 0.8926 | 0.7275 |
| 0.0253 | 130.0000 | 17554 | 4.0442 | 0.8898 | 0.7250 |
| 0.0237 | 131.0000 | 17688 | 3.6591 | 0.8914 | 0.7252 |
| 0.0307 | 132.0000 | 17822 | 3.5956 | 0.8930 | 0.7306 |
| 0.0298 | 133.0000 | 17956 | 3.1877 | 0.8909 | 0.7278 |
| 0.0335 | 133.0010 | 18090 | 3.3527 | 0.8823 | 0.6996 |
| 0.0461 | 134.0010 | 18224 | 2.4156 | 0.8863 | 0.7207 |
| 0.0446 | 135.0010 | 18358 | 2.8521 | 0.8891 | 0.7226 |
| 0.0768 | 136.0010 | 18492 | 3.4625 | 0.8871 | 0.7241 |
| 0.0382 | 137.0010 | 18626 | 2.8181 | 0.8899 | 0.7262 |
| 0.0274 | 138.0010 | 18760 | 2.5205 | 0.8906 | 0.7313 |
| 0.0254 | 139.0010 | 18894 | 2.6763 | 0.8966 | 0.7323 |
| 0.0226 | 140.0010 | 19028 | 2.9371 | 0.8940 | 0.7292 |
| 0.0194 | 141.0009 | 19162 | 2.7370 | 0.8967 | 0.7310 |
| 0.0201 | 142.0009 | 19296 | 2.9556 | 0.8918 | 0.7349 |
| 0.0331 | 143.0009 | 19430 | 2.6614 | 0.8902 | 0.7274 |
| 0.0238 | 144.0009 | 19564 | 2.6757 | 0.8964 | 0.7377 |
| 0.0182 | 145.0009 | 19698 | 2.9333 | 0.8965 | 0.7392 |
| 0.0182 | 146.0009 | 19832 | 2.9219 | 0.8942 | 0.7350 |
| 0.0235 | 147.0009 | 19966 | 2.5359 | 0.8970 | 0.7363 |
| 0.0208 | 148.0009 | 20100 | 2.9597 | 0.8960 | 0.7329 |
| 0.0245 | 149.0009 | 20234 | 3.4899 | 0.8935 | 0.7274 |
| 0.0205 | 150.0009 | 20368 | 2.9046 | 0.8966 | 0.7321 |
| 0.03 | 151.0009 | 20502 | 2.9476 | 0.8875 | 0.7229 |
| 0.0274 | 152.0009 | 20636 | 2.9819 | 0.8968 | 0.7323 |
| 0.0251 | 153.0009 | 20770 | 2.6874 | 0.8946 | 0.7261 |
| 0.0245 | 154.0008 | 20904 | 2.7395 | 0.8964 | 0.7360 |
| 0.0254 | 155.0008 | 21038 | 2.8113 | 0.8959 | 0.7355 |
| 0.0252 | 156.0008 | 21172 | 2.6783 | 0.8957 | 0.7328 |
| 0.0314 | 157.0008 | 21306 | 3.2216 | 0.8958 | 0.7358 |
| 0.0236 | 158.0008 | 21440 | 2.5577 | 0.8938 | 0.7295 |
| 0.0194 | 159.0008 | 21574 | 2.6508 | 0.8977 | 0.7344 |
| 0.0171 | 160.0008 | 21708 | 2.7768 | 0.8980 | 0.7420 |
| 0.0139 | 161.0008 | 21842 | 3.0620 | 0.8997 | 0.7415 |
| 0.0155 | 162.0008 | 21976 | 3.3701 | 0.8983 | 0.7426 |
| 0.0273 | 163.0008 | 22110 | 2.5980 | 0.8959 | 0.7362 |
| 0.0273 | 164.0008 | 22244 | 2.3159 | 0.8902 | 0.7321 |
| 0.0429 | 165.0008 | 22378 | 3.0674 | 0.8856 | 0.7293 |
| 0.0454 | 166.0008 | 22512 | 2.6672 | 0.8862 | 0.7267 |
| 0.0362 | 167.0008 | 22646 | 2.7183 | 0.8916 | 0.7321 |
| 0.0218 | 168.0007 | 22780 | 2.8746 | 0.8947 | 0.7373 |
| 0.0174 | 169.0007 | 22914 | 2.4957 | 0.8923 | 0.7407 |
| 0.0318 | 170.0007 | 23048 | 2.4608 | 0.8945 | 0.7366 |
| 0.0168 | 171.0007 | 23182 | 2.8124 | 0.8911 | 0.7337 |
| 0.0192 | 172.0007 | 23316 | 2.2944 | 0.8921 | 0.7386 |
| 0.0114 | 173.0007 | 23450 | 2.3511 | 0.8986 | 0.7446 |
| 0.0163 | 174.0007 | 23584 | 2.5095 | 0.8969 | 0.7432 |
| 0.012 | 175.0007 | 23718 | 2.7702 | 0.8973 | 0.7427 |
| 0.0152 | 176.0007 | 23852 | 2.0697 | 0.8955 | 0.7392 |
| 0.0148 | 177.0007 | 23986 | 2.3427 | 0.8878 | 0.7304 |
| 0.0285 | 178.0007 | 24120 | 2.8657 | 0.8847 | 0.7339 |
| 0.0222 | 179.0007 | 24254 | 2.4395 | 0.8926 | 0.7376 |
| 0.0296 | 180.0007 | 24388 | 2.8879 | 0.8809 | 0.7351 |
| 0.0239 | 181.0006 | 24522 | 2.4314 | 0.8928 | 0.7345 |
| 0.0173 | 182.0006 | 24656 | 3.1864 | 0.8950 | 0.7380 |
| 0.0247 | 183.0006 | 24790 | 3.0219 | 0.8964 | 0.7439 |
| 0.0179 | 184.0006 | 24924 | 2.8811 | 0.8951 | 0.7400 |
| 0.0145 | 185.0006 | 25058 | 3.4297 | 0.8935 | 0.7408 |
| 0.0126 | 186.0006 | 25192 | 2.9333 | 0.8968 | 0.7429 |
| 0.0165 | 187.0006 | 25326 | 2.6480 | 0.8962 | 0.7407 |
| 0.0122 | 188.0006 | 25460 | 2.8965 | 0.8972 | 0.7458 |
| 0.0145 | 189.0006 | 25594 | 2.9822 | 0.8853 | 0.7354 |
| 0.0181 | 190.0006 | 25728 | 3.5766 | 0.8958 | 0.7448 |
| 0.0263 | 191.0006 | 25862 | 2.6186 | 0.8899 | 0.7314 |
| 0.0289 | 192.0006 | 25996 | 2.3478 | 0.8864 | 0.7319 |
| 0.0246 | 193.0006 | 26130 | 2.8031 | 0.8840 | 0.7311 |
| 0.0202 | 194.0005 | 26264 | 3.4395 | 0.8979 | 0.7428 |
| 0.0178 | 195.0005 | 26398 | 2.3771 | 0.8984 | 0.7491 |
| 0.0105 | 196.0005 | 26532 | 3.2311 | 0.8988 | 0.7382 |
| 0.0107 | 197.0005 | 26666 | 2.9176 | 0.9009 | 0.7454 |
| 0.0096 | 198.0005 | 26800 | 2.3241 | 0.9008 | 0.7452 |
| 0.0089 | 199.0005 | 26934 | 2.7654 | 0.9015 | 0.7478 |
| 0.0122 | 200.0005 | 27068 | 2.7759 | 0.8994 | 0.7448 |
| 0.01 | 201.0005 | 27202 | 2.9339 | 0.8991 | 0.7450 |
| 0.0217 | 202.0005 | 27336 | 2.4087 | 0.8947 | 0.7331 |
| 0.0313 | 203.0005 | 27470 | 2.3820 | 0.8943 | 0.7324 |
| 0.0177 | 204.0005 | 27604 | 2.4881 | 0.8945 | 0.7451 |
| 0.0147 | 205.0005 | 27738 | 3.0517 | 0.8993 | 0.7452 |
| 0.0096 | 206.0005 | 27872 | 3.0411 | 0.8988 | 0.7461 |
| 0.0119 | 207.0005 | 28006 | 2.7581 | 0.8992 | 0.7438 |
| 0.0092 | 208.0004 | 28140 | 3.5028 | 0.9002 | 0.7470 |
| 0.0124 | 209.0004 | 28274 | 2.6177 | 0.8998 | 0.7395 |
| 0.0098 | 210.0004 | 28408 | 2.5279 | 0.9016 | 0.7478 |
| 0.0132 | 211.0004 | 28542 | 2.2788 | 0.9003 | 0.7486 |
| 0.0128 | 212.0004 | 28676 | 2.3972 | 0.8991 | 0.7439 |
| 0.0117 | 213.0004 | 28810 | 2.4534 | 0.8987 | 0.7414 |
| 0.0157 | 214.0004 | 28944 | 2.9153 | 0.8976 | 0.7415 |
| 0.0133 | 215.0004 | 29078 | 2.8110 | 0.8997 | 0.7496 |
| 0.0099 | 216.0004 | 29212 | 3.1402 | 0.8946 | 0.7403 |
| 0.014 | 217.0004 | 29346 | 2.4582 | 0.8964 | 0.7393 |
| 0.0398 | 218.0004 | 29480 | 2.6382 | 0.8910 | 0.7294 |
| 0.0335 | 219.0004 | 29614 | 2.2036 | 0.8903 | 0.7326 |
| 0.0268 | 220.0004 | 29748 | 2.4391 | 0.8893 | 0.7387 |
| 0.0173 | 221.0003 | 29882 | 2.6495 | 0.9002 | 0.7470 |
| 0.0159 | 222.0003 | 30016 | 2.5093 | 0.9008 | 0.7475 |
| 0.008 | 223.0003 | 30150 | 2.7068 | 0.9016 | 0.7484 |
| 0.0087 | 224.0003 | 30284 | 3.0752 | 0.8995 | 0.7509 |
| 0.0073 | 225.0003 | 30418 | 2.4908 | 0.9020 | 0.7507 |
| 0.0055 | 226.0003 | 30552 | 3.2953 | 0.9026 | 0.7533 |
| 0.0058 | 227.0003 | 30686 | 3.1263 | 0.9030 | 0.7535 |
| 0.0054 | 228.0003 | 30820 | 2.8419 | 0.9029 | 0.7541 |
| 0.0051 | 229.0003 | 30954 | 3.5094 | 0.9033 | 0.7565 |
| 0.0062 | 230.0003 | 31088 | 3.2330 | 0.9014 | 0.7478 |
| 0.0064 | 231.0003 | 31222 | 2.7211 | 0.9024 | 0.7509 |
| 0.0203 | 232.0003 | 31356 | 2.5700 | 0.8961 | 0.7335 |
| 0.017 | 233.0003 | 31490 | 3.0242 | 0.8997 | 0.7455 |
| 0.0141 | 234.0003 | 31624 | 2.6718 | 0.8954 | 0.7435 |
| 0.0129 | 235.0002 | 31758 | 2.9305 | 0.9039 | 0.7550 |
| 0.0152 | 236.0002 | 31892 | 2.5959 | 0.8957 | 0.7507 |
| 0.0118 | 237.0002 | 32026 | 3.1503 | 0.8980 | 0.7539 |
| 0.01 | 238.0002 | 32160 | 3.5122 | 0.9012 | 0.7565 |
| 0.0084 | 239.0002 | 32294 | 3.5436 | 0.9038 | 0.7568 |
| 0.0057 | 240.0002 | 32428 | 3.1792 | 0.9043 | 0.7575 |
| 0.0045 | 241.0002 | 32562 | 3.7850 | 0.9045 | 0.7583 |
| 0.0087 | 242.0002 | 32696 | 3.7095 | 0.9041 | 0.7563 |
| 0.0049 | 243.0002 | 32830 | 2.8775 | 0.9047 | 0.7569 |
| 0.0058 | 244.0002 | 32964 | 3.1835 | 0.9036 | 0.7531 |
| 0.0092 | 245.0002 | 33098 | 2.6343 | 0.9019 | 0.7536 |
| 0.0066 | 246.0002 | 33232 | 3.0736 | 0.9030 | 0.7530 |
| 0.0184 | 247.0002 | 33366 | 3.3067 | 0.9036 | 0.7510 |
| 0.0225 | 248.0001 | 33500 | 2.7005 | 0.8858 | 0.7356 |
| 0.0301 | 249.0001 | 33634 | 2.3220 | 0.9004 | 0.7441 |
| 0.0187 | 250.0001 | 33768 | 2.0436 | 0.9010 | 0.7439 |
| 0.0149 | 251.0001 | 33902 | 2.9553 | 0.8985 | 0.7480 |
| 0.0102 | 252.0001 | 34036 | 2.8283 | 0.8982 | 0.7502 |
| 0.007 | 253.0001 | 34170 | 3.1807 | 0.9035 | 0.7526 |
| 0.0053 | 254.0001 | 34304 | 2.9726 | 0.9063 | 0.7584 |
| 0.0038 | 255.0001 | 34438 | 3.1863 | 0.9066 | 0.7603 |
| 0.0042 | 256.0001 | 34572 | 3.2792 | 0.9061 | 0.7569 |
| 0.0039 | 257.0001 | 34706 | 3.2983 | 0.9075 | 0.7601 |
| 0.0039 | 258.0001 | 34840 | 3.5063 | 0.9072 | 0.7598 |
| 0.0036 | 259.0001 | 34974 | 3.3959 | 0.9055 | 0.7573 |
| 0.004 | 260.0001 | 35108 | 3.2935 | 0.9065 | 0.7600 |
| 0.0038 | 261.0001 | 35242 | 2.7151 | 0.9065 | 0.7600 |
| 0.0046 | 262.0000 | 35376 | 2.6936 | 0.9044 | 0.7531 |
| 0.0088 | 263.0000 | 35510 | 2.8098 | 0.9016 | 0.7504 |
| 0.0181 | 264.0000 | 35644 | 3.3416 | 0.9008 | 0.7456 |
| 0.0097 | 265.0000 | 35778 | 3.0239 | 0.9035 | 0.7473 |
| 0.0158 | 266.0000 | 35912 | 4.8047 | 0.8987 | 0.7512 |
| 0.0223 | 267.0000 | 36046 | 3.7809 | 0.8936 | 0.7489 |
| 0.0157 | 267.0010 | 36180 | 4.0004 | 0.9007 | 0.7558 |
| 0.0135 | 268.0010 | 36314 | 4.0651 | 0.9015 | 0.7562 |
| 0.0063 | 269.0010 | 36448 | 3.8184 | 0.8999 | 0.7565 |
| 0.0074 | 270.0010 | 36582 | 2.8200 | 0.8997 | 0.7549 |
| 0.0051 | 271.0010 | 36716 | 4.4006 | 0.9007 | 0.7525 |
| 0.0042 | 272.0010 | 36850 | 5.9740 | 0.9028 | 0.7575 |
| 0.0031 | 273.0010 | 36984 | 3.8698 | 0.9009 | 0.7576 |
| 0.0134 | 274.0010 | 37118 | 3.6286 | 0.9013 | 0.7537 |
### Framework versions
- Transformers 4.46.0
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.20.1
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