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T5-JSON-OM-IMP

Transformers
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
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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. -->
19
 
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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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@@ -53,106 +53,50 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 10
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  - mixed_precision_training: Native AMP
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59
  ### Training results
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61
  | Training Loss | Epoch | Step | Validation Loss | Micro Precision | Micro Recall | Micro F1 | Macro Precision | Macro Recall | Macro F1 | Bleu | Rouge1 | Rouge2 |
62
  |:-------------:|:------:|:----:|:---------------:|:---------------:|:------------:|:--------:|:---------------:|:------------:|:--------:|:-------:|:------:|:------:|
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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 |
105
- | 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 |
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- | 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 |
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- | 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 |
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- | 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 |
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- | 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 |
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- | 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 |
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- | 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 |
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- | 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 |
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- | 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 |
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- | 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 |
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- | 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 |
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- | 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 |
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- | 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 |
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- | 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 |
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- | 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 |
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- | 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 |
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- | 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 |
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- | 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 |
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- | 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 |
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- | 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 |
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- | 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 |
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- | 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 |
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- | 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 |
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- | 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 |
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- | 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 |
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- | 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 |
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- | 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 |
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- | 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 |
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- | 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 |
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- | 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 |
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- | 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 |
156
 
157
 
158
  ### Framework versions
 
19
 
20
  This model is a fine-tuned version of [T5-small](https://huggingface.co/T5-small) on the None dataset.
21
  It achieves the following results on the evaluation set:
22
+ - Loss: 0.0063
23
+ - Micro Precision: 0.4069
24
+ - Micro Recall: 0.4681
25
+ - Micro F1: 0.4353
26
+ - Macro Precision: 0.4072
27
+ - Macro Recall: 0.4742
28
+ - Macro F1: 0.4382
29
+ - Bleu: 75.6457
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+ - Rouge1: 0.7665
31
+ - Rouge2: 0.5226
32
 
33
  ## Model description
34
 
 
53
  - seed: 42
54
  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
55
  - lr_scheduler_type: linear
56
+ - num_epochs: 4
57
  - mixed_precision_training: Native AMP
58
 
59
  ### Training results
60
 
61
  | Training Loss | Epoch | Step | Validation Loss | Micro Precision | Micro Recall | Micro F1 | Macro Precision | Macro Recall | Macro F1 | Bleu | Rouge1 | Rouge2 |
62
  |:-------------:|:------:|:----:|:---------------:|:---------------:|:------------:|:--------:|:---------------:|:------------:|:--------:|:-------:|:------:|:------:|
63
+ | 17.7048 | 0.1068 | 50 | 8.2715 | 0 | 0.0 | 0 | 0.0 | 0.0 | 0 | 0.0213 | 0.0194 | 0.0 |
64
+ | 3.5821 | 0.2137 | 100 | 0.1261 | 0 | 0.0 | 0 | 0.0 | 0.0 | 0 | 0.0022 | 0.0022 | 0.0 |
65
+ | 0.5575 | 0.3205 | 150 | 0.0912 | 0 | 0.0 | 0 | 0.0 | 0.0 | 0 | 0.0 | 0.0 | 0.0 |
66
+ | 0.1174 | 0.4274 | 200 | 0.0534 | 0 | 0.0 | 0 | 0.0 | 0.0 | 0 | 0.0 | 0.0 | 0.0 |
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+ | 0.067 | 0.5342 | 250 | 0.0329 | 0 | 0.0 | 0 | 0.0 | 0.0 | 0 | 0.0 | 0.0 | 0.0 |
68
+ | 0.047 | 0.6410 | 300 | 0.0223 | 0 | 0.0 | 0 | 0.0 | 0.0 | 0 | 0.0000 | 0.0026 | 0.0005 |
69
+ | 0.0367 | 0.7479 | 350 | 0.0176 | 0.1667 | 0.0007 | 0.0015 | 0.125 | 0.0008 | 0.0015 | 0.0588 | 0.0196 | 0.0085 |
70
+ | 0.0305 | 0.8547 | 400 | 0.0151 | 0.3333 | 0.0066 | 0.0129 | 0.2500 | 0.0069 | 0.0134 | 0.2728 | 0.0411 | 0.0211 |
71
+ | 0.0259 | 0.9615 | 450 | 0.0128 | 0.3904 | 0.0536 | 0.0942 | 0.3743 | 0.0562 | 0.0978 | 5.1808 | 0.1404 | 0.0812 |
72
+ | 0.023 | 1.0684 | 500 | 0.0109 | 0.3549 | 0.1570 | 0.2177 | 0.3537 | 0.1627 | 0.2228 | 22.2151 | 0.3401 | 0.2093 |
73
+ | 0.0208 | 1.1752 | 550 | 0.0097 | 0.3635 | 0.2678 | 0.3084 | 0.3621 | 0.2756 | 0.3130 | 44.1481 | 0.5171 | 0.3302 |
74
+ | 0.0191 | 1.2821 | 600 | 0.0084 | 0.3442 | 0.3478 | 0.3460 | 0.3446 | 0.3517 | 0.3481 | 61.5038 | 0.6523 | 0.4297 |
75
+ | 0.017 | 1.3889 | 650 | 0.0080 | 0.3555 | 0.3881 | 0.3711 | 0.3555 | 0.3921 | 0.3729 | 67.9000 | 0.7144 | 0.4766 |
76
+ | 0.0158 | 1.4957 | 700 | 0.0077 | 0.3907 | 0.4299 | 0.4094 | 0.3906 | 0.4342 | 0.4112 | 73.1590 | 0.7482 | 0.5047 |
77
+ | 0.0151 | 1.6026 | 750 | 0.0073 | 0.3906 | 0.4270 | 0.4080 | 0.3905 | 0.4311 | 0.4098 | 74.0266 | 0.7572 | 0.5115 |
78
+ | 0.0139 | 1.7094 | 800 | 0.0070 | 0.3962 | 0.4453 | 0.4193 | 0.3962 | 0.4504 | 0.4216 | 75.0071 | 0.7665 | 0.5226 |
79
+ | 0.0135 | 1.8162 | 850 | 0.0069 | 0.4101 | 0.4571 | 0.4323 | 0.4106 | 0.4626 | 0.4350 | 75.7473 | 0.7674 | 0.5221 |
80
+ | 0.0129 | 1.9231 | 900 | 0.0068 | 0.4065 | 0.4563 | 0.4300 | 0.4069 | 0.4619 | 0.4327 | 75.3869 | 0.7651 | 0.5159 |
81
+ | 0.0125 | 2.0299 | 950 | 0.0067 | 0.3994 | 0.4600 | 0.4275 | 0.3995 | 0.4655 | 0.4300 | 75.0995 | 0.7644 | 0.5174 |
82
+ | 0.0115 | 2.1368 | 1000 | 0.0066 | 0.4059 | 0.4622 | 0.4322 | 0.4062 | 0.4678 | 0.4348 | 75.5433 | 0.7666 | 0.5209 |
83
+ | 0.0115 | 2.2436 | 1050 | 0.0065 | 0.4064 | 0.4637 | 0.4332 | 0.4067 | 0.4698 | 0.4360 | 75.5672 | 0.7658 | 0.5213 |
84
+ | 0.0114 | 2.3504 | 1100 | 0.0066 | 0.4118 | 0.4644 | 0.4366 | 0.4124 | 0.4704 | 0.4395 | 75.9796 | 0.7695 | 0.5254 |
85
+ | 0.0112 | 2.4573 | 1150 | 0.0065 | 0.4055 | 0.4674 | 0.4342 | 0.4057 | 0.4732 | 0.4369 | 75.5003 | 0.7654 | 0.5203 |
86
+ | 0.012 | 2.5641 | 1200 | 0.0064 | 0.3971 | 0.4585 | 0.4256 | 0.3972 | 0.4642 | 0.4281 | 75.0879 | 0.7662 | 0.5205 |
87
+ | 0.0107 | 2.6709 | 1250 | 0.0064 | 0.3883 | 0.4490 | 0.4165 | 0.3885 | 0.4550 | 0.4191 | 74.6715 | 0.7654 | 0.5178 |
88
+ | 0.0103 | 2.7778 | 1300 | 0.0064 | 0.3981 | 0.4585 | 0.4262 | 0.3983 | 0.4645 | 0.4289 | 75.1906 | 0.7673 | 0.5222 |
89
+ | 0.0106 | 2.8846 | 1350 | 0.0064 | 0.3985 | 0.4578 | 0.4261 | 0.3987 | 0.4639 | 0.4288 | 75.2734 | 0.7661 | 0.5196 |
90
+ | 0.0099 | 2.9915 | 1400 | 0.0064 | 0.4082 | 0.4681 | 0.4361 | 0.4085 | 0.4741 | 0.4389 | 75.6457 | 0.7656 | 0.5220 |
91
+ | 0.0101 | 3.0983 | 1450 | 0.0064 | 0.4028 | 0.4622 | 0.4305 | 0.4031 | 0.4680 | 0.4331 | 75.4024 | 0.7658 | 0.5199 |
92
+ | 0.0101 | 3.2051 | 1500 | 0.0064 | 0.4028 | 0.4607 | 0.4298 | 0.4031 | 0.4663 | 0.4324 | 75.3197 | 0.7648 | 0.5179 |
93
+ | 0.01 | 3.3120 | 1550 | 0.0064 | 0.4074 | 0.4666 | 0.4350 | 0.4078 | 0.4726 | 0.4378 | 75.5829 | 0.7650 | 0.5206 |
94
+ | 0.0095 | 3.4188 | 1600 | 0.0063 | 0.4078 | 0.4688 | 0.4362 | 0.4081 | 0.4749 | 0.4390 | 75.6771 | 0.7665 | 0.5231 |
95
+ | 0.0099 | 3.5256 | 1650 | 0.0063 | 0.4075 | 0.4688 | 0.4360 | 0.4078 | 0.4748 | 0.4388 | 75.6573 | 0.7662 | 0.5226 |
96
+ | 0.0098 | 3.6325 | 1700 | 0.0063 | 0.4069 | 0.4681 | 0.4353 | 0.4072 | 0.4742 | 0.4382 | 75.6457 | 0.7665 | 0.5226 |
97
+ | 0.0093 | 3.7393 | 1750 | 0.0063 | 0.4071 | 0.4681 | 0.4355 | 0.4075 | 0.4742 | 0.4383 | 75.6457 | 0.7658 | 0.5221 |
98
+ | 0.0095 | 3.8462 | 1800 | 0.0063 | 0.4065 | 0.4674 | 0.4348 | 0.4068 | 0.4736 | 0.4377 | 75.6341 | 0.7660 | 0.5221 |
99
+ | 0.0095 | 3.9530 | 1850 | 0.0063 | 0.4069 | 0.4681 | 0.4353 | 0.4072 | 0.4742 | 0.4382 | 75.6457 | 0.7665 | 0.5226 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
100
 
101
 
102
  ### Framework versions
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