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End of training

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README.md CHANGED
@@ -19,16 +19,16 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [T5-small](https://huggingface.co/T5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 12.6919
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- - Micro Precision: 0
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- - Micro Recall: 0.0
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- - Micro F1: 0
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- - Macro Precision: 0.0
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- - Macro Recall: 0.0
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- - Macro F1: 0
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- - Bleu: 0.0484
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- - Rouge1: 0.0223
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- - Rouge2: 0.0
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  ## Model description
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@@ -58,9 +58,101 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Micro Precision | Micro Recall | Micro F1 | Macro Precision | Macro Recall | Macro F1 | Bleu | Rouge1 | Rouge2 |
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- |:-------------:|:------:|:----:|:---------------:|:---------------:|:------------:|:--------:|:---------------:|:------------:|:--------:|:------:|:------:|:------:|
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- | 18.2432 | 7.1429 | 50 | 12.6919 | 0 | 0.0 | 0 | 0.0 | 0.0 | 0 | 0.0484 | 0.0223 | 0.0 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [T5-small](https://huggingface.co/T5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0061
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+ - Micro Precision: 0.4084
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+ - Micro Recall: 0.4806
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+ - Micro F1: 0.4415
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+ - Macro Precision: 0.4085
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+ - Macro Recall: 0.4869
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+ - Macro F1: 0.4443
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+ - Bleu: 75.5747
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+ - Rouge1: 0.7648
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+ - Rouge2: 0.5224
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Micro Precision | Micro Recall | Micro F1 | Macro Precision | Macro Recall | Macro F1 | Bleu | Rouge1 | Rouge2 |
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+ |:-------------:|:------:|:----:|:---------------:|:---------------:|:------------:|:--------:|:---------------:|:------------:|:--------:|:-------:|:------:|:------:|
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+ | 17.6561 | 0.1068 | 50 | 8.1745 | 0 | 0.0 | 0 | 0.0 | 0.0 | 0 | 0.0214 | 0.0192 | 0.0 |
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+ | 3.6446 | 0.2137 | 100 | 0.1269 | 0 | 0.0 | 0 | 0.0 | 0.0 | 0 | 0.0030 | 0.0024 | 0.0 |
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+ | 0.5555 | 0.3205 | 150 | 0.0917 | 0 | 0.0 | 0 | 0.0 | 0.0 | 0 | 0.0 | 0.0 | 0.0 |
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+ | 0.1137 | 0.4274 | 200 | 0.0517 | 0 | 0.0 | 0 | 0.0 | 0.0 | 0 | 0.0 | 0.0 | 0.0 |
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+ | 0.0641 | 0.5342 | 250 | 0.0316 | 0 | 0.0 | 0 | 0.0 | 0.0 | 0 | 0.0 | 0.0 | 0.0 |
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+ | 0.0443 | 0.6410 | 300 | 0.0211 | 0 | 0.0 | 0 | 0.0 | 0.0 | 0 | 0.0000 | 0.0027 | 0.0005 |
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+ | 0.0344 | 0.7479 | 350 | 0.0166 | 0.1667 | 0.0007 | 0.0015 | 0.125 | 0.0008 | 0.0015 | 0.6419 | 0.0312 | 0.0135 |
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+ | 0.0284 | 0.8547 | 400 | 0.0139 | 0.4343 | 0.0315 | 0.0588 | 0.4115 | 0.0328 | 0.0607 | 1.9492 | 0.0924 | 0.0533 |
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+ | 0.0239 | 0.9615 | 450 | 0.0115 | 0.4073 | 0.1387 | 0.2069 | 0.4033 | 0.1446 | 0.2129 | 18.6642 | 0.2914 | 0.1793 |
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+ | 0.0209 | 1.0684 | 500 | 0.0095 | 0.3682 | 0.2869 | 0.3225 | 0.3682 | 0.2931 | 0.3264 | 48.1448 | 0.5384 | 0.3526 |
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+ | 0.0186 | 1.1752 | 550 | 0.0086 | 0.3701 | 0.3764 | 0.3732 | 0.3700 | 0.3829 | 0.3764 | 63.7786 | 0.6727 | 0.4479 |
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+ | 0.0171 | 1.2821 | 600 | 0.0076 | 0.3394 | 0.3830 | 0.3599 | 0.3393 | 0.3870 | 0.3616 | 70.2327 | 0.7395 | 0.4975 |
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+ | 0.015 | 1.3889 | 650 | 0.0074 | 0.3674 | 0.4189 | 0.3915 | 0.3674 | 0.4229 | 0.3932 | 72.5827 | 0.7581 | 0.5092 |
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+ | 0.0139 | 1.4957 | 700 | 0.0071 | 0.4025 | 0.4512 | 0.4255 | 0.4027 | 0.4562 | 0.4278 | 75.2921 | 0.7682 | 0.5221 |
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+ | 0.0133 | 1.6026 | 750 | 0.0068 | 0.4035 | 0.4461 | 0.4237 | 0.4036 | 0.4507 | 0.4258 | 75.6009 | 0.7743 | 0.5314 |
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+ | 0.0121 | 1.7094 | 800 | 0.0066 | 0.3972 | 0.4549 | 0.4241 | 0.3974 | 0.4609 | 0.4268 | 75.4443 | 0.7705 | 0.5265 |
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+ | 0.0117 | 1.8162 | 850 | 0.0065 | 0.4113 | 0.4593 | 0.4340 | 0.4119 | 0.4650 | 0.4368 | 75.7436 | 0.7670 | 0.5204 |
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+ | 0.0113 | 1.9231 | 900 | 0.0065 | 0.4077 | 0.4637 | 0.4339 | 0.4082 | 0.4696 | 0.4368 | 75.7085 | 0.7675 | 0.5223 |
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+ | 0.0109 | 2.0299 | 950 | 0.0064 | 0.4016 | 0.4674 | 0.4320 | 0.4018 | 0.4730 | 0.4345 | 75.2841 | 0.7655 | 0.5199 |
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+ | 0.01 | 2.1368 | 1000 | 0.0064 | 0.4058 | 0.4696 | 0.4354 | 0.4061 | 0.4755 | 0.4381 | 75.5945 | 0.7661 | 0.5224 |
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+ | 0.01 | 2.2436 | 1050 | 0.0063 | 0.4034 | 0.4718 | 0.4349 | 0.4035 | 0.4779 | 0.4376 | 75.3710 | 0.7636 | 0.5183 |
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+ | 0.0099 | 2.3504 | 1100 | 0.0065 | 0.4092 | 0.4681 | 0.4367 | 0.4096 | 0.4741 | 0.4395 | 75.6263 | 0.7650 | 0.5195 |
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+ | 0.0096 | 2.4573 | 1150 | 0.0063 | 0.4047 | 0.4718 | 0.4356 | 0.4048 | 0.4778 | 0.4383 | 75.3904 | 0.7646 | 0.5198 |
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+ | 0.0104 | 2.5641 | 1200 | 0.0063 | 0.4035 | 0.4696 | 0.4340 | 0.4037 | 0.4754 | 0.4366 | 75.2097 | 0.7623 | 0.5147 |
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+ | 0.0093 | 2.6709 | 1250 | 0.0062 | 0.3927 | 0.4629 | 0.4249 | 0.3927 | 0.4687 | 0.4274 | 74.7695 | 0.7647 | 0.5188 |
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+ | 0.0089 | 2.7778 | 1300 | 0.0063 | 0.4034 | 0.4747 | 0.4361 | 0.4035 | 0.4809 | 0.4388 | 75.3197 | 0.7633 | 0.5179 |
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+ | 0.0091 | 2.8846 | 1350 | 0.0062 | 0.4061 | 0.4762 | 0.4384 | 0.4063 | 0.4826 | 0.4412 | 75.4966 | 0.7643 | 0.5202 |
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+ | 0.0088 | 2.9915 | 1400 | 0.0063 | 0.4072 | 0.4703 | 0.4365 | 0.4075 | 0.4763 | 0.4392 | 75.4925 | 0.7639 | 0.5187 |
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+ | 0.0088 | 3.0983 | 1450 | 0.0062 | 0.4032 | 0.4754 | 0.4364 | 0.4033 | 0.4817 | 0.4390 | 75.2804 | 0.7628 | 0.5172 |
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+ | 0.0087 | 3.2051 | 1500 | 0.0063 | 0.4075 | 0.4688 | 0.4360 | 0.4078 | 0.4748 | 0.4388 | 75.5317 | 0.7643 | 0.5194 |
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+ | 0.0088 | 3.3120 | 1550 | 0.0062 | 0.4058 | 0.4740 | 0.4372 | 0.4060 | 0.4801 | 0.4399 | 75.4846 | 0.7645 | 0.5203 |
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+ | 0.0082 | 3.4188 | 1600 | 0.0062 | 0.4032 | 0.4754 | 0.4364 | 0.4033 | 0.4817 | 0.4390 | 75.1861 | 0.7613 | 0.5147 |
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+ | 0.0084 | 3.5256 | 1650 | 0.0062 | 0.4052 | 0.4769 | 0.4382 | 0.4054 | 0.4831 | 0.4408 | 75.4375 | 0.7643 | 0.5200 |
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+ | 0.0084 | 3.6325 | 1700 | 0.0062 | 0.4063 | 0.4754 | 0.4381 | 0.4064 | 0.4817 | 0.4409 | 75.4375 | 0.7639 | 0.5188 |
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+ | 0.0079 | 3.7393 | 1750 | 0.0063 | 0.4083 | 0.4688 | 0.4365 | 0.4086 | 0.4748 | 0.4393 | 75.5317 | 0.7641 | 0.5187 |
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+ | 0.0081 | 3.8462 | 1800 | 0.0062 | 0.4045 | 0.4769 | 0.4377 | 0.4046 | 0.4831 | 0.4404 | 75.3433 | 0.7632 | 0.5181 |
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+ | 0.008 | 3.9530 | 1850 | 0.0062 | 0.4045 | 0.4769 | 0.4377 | 0.4046 | 0.4831 | 0.4404 | 75.3433 | 0.7632 | 0.5181 |
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+ | 0.0082 | 4.0598 | 1900 | 0.0063 | 0.4070 | 0.4718 | 0.4370 | 0.4072 | 0.4779 | 0.4397 | 75.3668 | 0.7625 | 0.5156 |
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+ | 0.0082 | 4.1667 | 1950 | 0.0062 | 0.4052 | 0.4769 | 0.4382 | 0.4054 | 0.4831 | 0.4408 | 75.3433 | 0.7630 | 0.5174 |
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+ | 0.0078 | 4.2735 | 2000 | 0.0062 | 0.4047 | 0.4754 | 0.4372 | 0.4049 | 0.4817 | 0.4399 | 75.2883 | 0.7623 | 0.5161 |
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+ | 0.0079 | 4.3803 | 2050 | 0.0061 | 0.4030 | 0.4769 | 0.4368 | 0.4031 | 0.4831 | 0.4395 | 75.1861 | 0.7614 | 0.5153 |
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+ | 0.0078 | 4.4872 | 2100 | 0.0061 | 0.4018 | 0.4791 | 0.4371 | 0.4019 | 0.4855 | 0.4397 | 75.1663 | 0.7617 | 0.5166 |
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+ | 0.008 | 4.5940 | 2150 | 0.0061 | 0.4030 | 0.4769 | 0.4368 | 0.4031 | 0.4831 | 0.4395 | 75.2490 | 0.7624 | 0.5168 |
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+ | 0.0078 | 4.7009 | 2200 | 0.0061 | 0.4021 | 0.4776 | 0.4366 | 0.4022 | 0.4840 | 0.4393 | 75.2804 | 0.7635 | 0.5185 |
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+ | 0.0077 | 4.8077 | 2250 | 0.0061 | 0.4037 | 0.4769 | 0.4373 | 0.4038 | 0.4831 | 0.4399 | 75.3433 | 0.7634 | 0.5188 |
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+ | 0.0078 | 4.9145 | 2300 | 0.0062 | 0.4060 | 0.4769 | 0.4386 | 0.4061 | 0.4831 | 0.4413 | 75.3433 | 0.7627 | 0.5168 |
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+ | 0.0078 | 5.0214 | 2350 | 0.0062 | 0.4060 | 0.4769 | 0.4386 | 0.4061 | 0.4831 | 0.4413 | 75.4375 | 0.7640 | 0.5194 |
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+ | 0.0077 | 5.1282 | 2400 | 0.0062 | 0.4037 | 0.4769 | 0.4373 | 0.4038 | 0.4831 | 0.4399 | 75.2490 | 0.7622 | 0.5162 |
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+ | 0.0077 | 5.2350 | 2450 | 0.0061 | 0.4015 | 0.4769 | 0.4359 | 0.4015 | 0.4831 | 0.4386 | 75.1861 | 0.7621 | 0.5165 |
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+ | 0.0078 | 5.3419 | 2500 | 0.0061 | 0.4030 | 0.4769 | 0.4368 | 0.4031 | 0.4831 | 0.4395 | 75.2490 | 0.7624 | 0.5168 |
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+ | 0.0076 | 5.4487 | 2550 | 0.0062 | 0.4035 | 0.4784 | 0.4377 | 0.4035 | 0.4846 | 0.4404 | 75.2920 | 0.7628 | 0.5184 |
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+ | 0.0076 | 5.5556 | 2600 | 0.0062 | 0.4057 | 0.4784 | 0.4391 | 0.4058 | 0.4846 | 0.4417 | 75.3863 | 0.7632 | 0.5191 |
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+ | 0.0075 | 5.6624 | 2650 | 0.0062 | 0.4035 | 0.4784 | 0.4377 | 0.4035 | 0.4846 | 0.4404 | 75.2920 | 0.7628 | 0.5184 |
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+ | 0.0075 | 5.7692 | 2700 | 0.0062 | 0.4053 | 0.4806 | 0.4397 | 0.4054 | 0.4869 | 0.4424 | 75.3863 | 0.7636 | 0.5197 |
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+ | 0.0076 | 5.8761 | 2750 | 0.0061 | 0.4025 | 0.4798 | 0.4378 | 0.4025 | 0.4862 | 0.4404 | 75.2176 | 0.7626 | 0.5169 |
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+ | 0.0074 | 5.9829 | 2800 | 0.0061 | 0.4037 | 0.4813 | 0.4391 | 0.4037 | 0.4877 | 0.4418 | 75.2606 | 0.7626 | 0.5179 |
119
+ | 0.0075 | 6.0897 | 2850 | 0.0061 | 0.4057 | 0.4784 | 0.4391 | 0.4058 | 0.4846 | 0.4417 | 75.3863 | 0.7632 | 0.5191 |
120
+ | 0.0073 | 6.1966 | 2900 | 0.0062 | 0.4068 | 0.4806 | 0.4406 | 0.4069 | 0.4869 | 0.4434 | 75.4805 | 0.7642 | 0.5211 |
121
+ | 0.0073 | 6.3034 | 2950 | 0.0061 | 0.4076 | 0.4806 | 0.4411 | 0.4077 | 0.4869 | 0.4438 | 75.4805 | 0.7638 | 0.5205 |
122
+ | 0.0074 | 6.4103 | 3000 | 0.0062 | 0.4052 | 0.4769 | 0.4382 | 0.4054 | 0.4831 | 0.4408 | 75.3433 | 0.7627 | 0.5176 |
123
+ | 0.0073 | 6.5171 | 3050 | 0.0061 | 0.4038 | 0.4806 | 0.4389 | 0.4039 | 0.4869 | 0.4415 | 75.2920 | 0.7628 | 0.5184 |
124
+ | 0.0073 | 6.6239 | 3100 | 0.0061 | 0.4028 | 0.4820 | 0.4389 | 0.4028 | 0.4886 | 0.4416 | 75.1663 | 0.7615 | 0.5165 |
125
+ | 0.0073 | 6.7308 | 3150 | 0.0061 | 0.4025 | 0.4798 | 0.4378 | 0.4025 | 0.4862 | 0.4404 | 75.2176 | 0.7626 | 0.5169 |
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+ | 0.0074 | 6.8376 | 3200 | 0.0061 | 0.4061 | 0.4806 | 0.4402 | 0.4062 | 0.4869 | 0.4429 | 75.3863 | 0.7632 | 0.5191 |
127
+ | 0.0074 | 6.9444 | 3250 | 0.0061 | 0.4061 | 0.4806 | 0.4402 | 0.4062 | 0.4869 | 0.4429 | 75.3863 | 0.7632 | 0.5191 |
128
+ | 0.0074 | 7.0513 | 3300 | 0.0062 | 0.4080 | 0.4784 | 0.4404 | 0.4082 | 0.4846 | 0.4431 | 75.4805 | 0.7636 | 0.5198 |
129
+ | 0.0076 | 7.1581 | 3350 | 0.0061 | 0.4053 | 0.4806 | 0.4397 | 0.4054 | 0.4869 | 0.4424 | 75.2920 | 0.7622 | 0.5172 |
130
+ | 0.0071 | 7.2650 | 3400 | 0.0061 | 0.4068 | 0.4806 | 0.4406 | 0.4069 | 0.4869 | 0.4434 | 75.3863 | 0.7628 | 0.5185 |
131
+ | 0.0073 | 7.3718 | 3450 | 0.0061 | 0.4053 | 0.4806 | 0.4397 | 0.4054 | 0.4869 | 0.4424 | 75.2920 | 0.7622 | 0.5172 |
132
+ | 0.0074 | 7.4786 | 3500 | 0.0061 | 0.4061 | 0.4806 | 0.4402 | 0.4062 | 0.4869 | 0.4429 | 75.3863 | 0.7632 | 0.5191 |
133
+ | 0.0073 | 7.5855 | 3550 | 0.0061 | 0.4076 | 0.4806 | 0.4411 | 0.4077 | 0.4869 | 0.4438 | 75.4805 | 0.7638 | 0.5204 |
134
+ | 0.0074 | 7.6923 | 3600 | 0.0061 | 0.4084 | 0.4806 | 0.4415 | 0.4085 | 0.4869 | 0.4443 | 75.5747 | 0.7648 | 0.5224 |
135
+ | 0.0072 | 7.7991 | 3650 | 0.0061 | 0.4046 | 0.4806 | 0.4393 | 0.4046 | 0.4869 | 0.4420 | 75.2920 | 0.7626 | 0.5177 |
136
+ | 0.0075 | 7.9060 | 3700 | 0.0061 | 0.4084 | 0.4806 | 0.4415 | 0.4085 | 0.4869 | 0.4443 | 75.5747 | 0.7648 | 0.5224 |
137
+ | 0.0073 | 8.0128 | 3750 | 0.0061 | 0.4084 | 0.4806 | 0.4415 | 0.4085 | 0.4869 | 0.4443 | 75.5747 | 0.7648 | 0.5224 |
138
+ | 0.0075 | 8.1197 | 3800 | 0.0061 | 0.4084 | 0.4806 | 0.4415 | 0.4085 | 0.4869 | 0.4443 | 75.5747 | 0.7648 | 0.5224 |
139
+ | 0.0073 | 8.2265 | 3850 | 0.0061 | 0.4063 | 0.4791 | 0.4397 | 0.4065 | 0.4855 | 0.4425 | 75.4375 | 0.7638 | 0.5195 |
140
+ | 0.0075 | 8.3333 | 3900 | 0.0061 | 0.4061 | 0.4806 | 0.4402 | 0.4062 | 0.4869 | 0.4429 | 75.3863 | 0.7632 | 0.5191 |
141
+ | 0.0071 | 8.4402 | 3950 | 0.0061 | 0.4059 | 0.4813 | 0.4404 | 0.4060 | 0.4877 | 0.4431 | 75.3549 | 0.7629 | 0.5186 |
142
+ | 0.0072 | 8.5470 | 4000 | 0.0061 | 0.4044 | 0.4813 | 0.4395 | 0.4045 | 0.4877 | 0.4422 | 75.2920 | 0.7624 | 0.5183 |
143
+ | 0.0074 | 8.6538 | 4050 | 0.0061 | 0.4068 | 0.4806 | 0.4406 | 0.4069 | 0.4869 | 0.4434 | 75.4805 | 0.7642 | 0.5210 |
144
+ | 0.0069 | 8.7607 | 4100 | 0.0061 | 0.4068 | 0.4806 | 0.4406 | 0.4069 | 0.4869 | 0.4434 | 75.4805 | 0.7642 | 0.5210 |
145
+ | 0.0074 | 8.8675 | 4150 | 0.0061 | 0.4084 | 0.4806 | 0.4415 | 0.4085 | 0.4869 | 0.4443 | 75.5747 | 0.7648 | 0.5224 |
146
+ | 0.0072 | 8.9744 | 4200 | 0.0061 | 0.4091 | 0.4806 | 0.4420 | 0.4093 | 0.4869 | 0.4447 | 75.6688 | 0.7659 | 0.5243 |
147
+ | 0.0072 | 9.0812 | 4250 | 0.0061 | 0.4091 | 0.4806 | 0.4420 | 0.4093 | 0.4869 | 0.4447 | 75.6688 | 0.7659 | 0.5243 |
148
+ | 0.0071 | 9.1880 | 4300 | 0.0061 | 0.4091 | 0.4806 | 0.4420 | 0.4093 | 0.4869 | 0.4447 | 75.6688 | 0.7659 | 0.5243 |
149
+ | 0.0072 | 9.2949 | 4350 | 0.0061 | 0.4091 | 0.4806 | 0.4420 | 0.4093 | 0.4869 | 0.4447 | 75.6688 | 0.7659 | 0.5243 |
150
+ | 0.0073 | 9.4017 | 4400 | 0.0061 | 0.4091 | 0.4806 | 0.4420 | 0.4093 | 0.4869 | 0.4447 | 75.6688 | 0.7659 | 0.5243 |
151
+ | 0.0073 | 9.5085 | 4450 | 0.0061 | 0.4084 | 0.4806 | 0.4415 | 0.4085 | 0.4869 | 0.4443 | 75.5747 | 0.7648 | 0.5224 |
152
+ | 0.0072 | 9.6154 | 4500 | 0.0061 | 0.4084 | 0.4806 | 0.4415 | 0.4085 | 0.4869 | 0.4443 | 75.5747 | 0.7648 | 0.5224 |
153
+ | 0.0073 | 9.7222 | 4550 | 0.0061 | 0.4084 | 0.4806 | 0.4415 | 0.4085 | 0.4869 | 0.4443 | 75.5747 | 0.7648 | 0.5224 |
154
+ | 0.0071 | 9.8291 | 4600 | 0.0061 | 0.4084 | 0.4806 | 0.4415 | 0.4085 | 0.4869 | 0.4443 | 75.5747 | 0.7648 | 0.5224 |
155
+ | 0.0071 | 9.9359 | 4650 | 0.0061 | 0.4084 | 0.4806 | 0.4415 | 0.4085 | 0.4869 | 0.4443 | 75.5747 | 0.7648 | 0.5224 |
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157
 
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  ### Framework versions
model.safetensors CHANGED
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