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moanlb
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t5-small-finetuned-Informal_Text-to-Formal_Text

Text2Text Generation
Transformers
TensorBoard
Safetensors
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
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End of training

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  1. README.md +304 -24
  2. model.safetensors +1 -1
  3. runs/May08_15-51-56_0af492c403a8/events.out.tfevents.1715183527.0af492c403a8.1131.2 +2 -2
README.md CHANGED
@@ -17,9 +17,9 @@ 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: 3.6182
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- - Bleu: 0.1261
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- - Gen Len: 16.6
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  ## Model description
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@@ -44,33 +44,313 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 20
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
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- | No log | 1.0 | 3 | 5.5916 | 0.0865 | 16.4667 |
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- | No log | 2.0 | 6 | 5.0599 | 0.081 | 16.4667 |
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- | No log | 3.0 | 9 | 4.8082 | 0.0836 | 16.4667 |
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- | No log | 4.0 | 12 | 4.6234 | 0.0907 | 16.4667 |
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- | No log | 5.0 | 15 | 4.3832 | 0.0901 | 16.4667 |
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- | No log | 6.0 | 18 | 4.2065 | 0.1009 | 16.6 |
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- | No log | 7.0 | 21 | 4.0848 | 0.121 | 16.6 |
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- | No log | 8.0 | 24 | 3.9779 | 0.1318 | 16.6 |
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- | No log | 9.0 | 27 | 3.9105 | 0.1406 | 16.6 |
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- | No log | 10.0 | 30 | 3.8476 | 0.1444 | 16.6 |
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- | No log | 11.0 | 33 | 3.7890 | 0.1414 | 16.6 |
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- | No log | 12.0 | 36 | 3.7414 | 0.1414 | 16.6 |
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- | No log | 13.0 | 39 | 3.7097 | 0.1414 | 16.6 |
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- | No log | 14.0 | 42 | 3.6856 | 0.1328 | 16.6 |
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- | No log | 15.0 | 45 | 3.6665 | 0.1237 | 16.6 |
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- | No log | 16.0 | 48 | 3.6510 | 0.1237 | 16.6 |
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- | No log | 17.0 | 51 | 3.6392 | 0.1226 | 16.6 |
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- | No log | 18.0 | 54 | 3.6295 | 0.1226 | 16.6 |
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- | No log | 19.0 | 57 | 3.6224 | 0.1261 | 16.6 |
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- | No log | 20.0 | 60 | 3.6182 | 0.1261 | 16.6 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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: 2.1514
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+ - Bleu: 0.4495
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+ - Gen Len: 16.2667
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  ## Model description
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44
  - seed: 42
45
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
46
  - lr_scheduler_type: linear
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+ - num_epochs: 300
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  - mixed_precision_training: Native AMP
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50
  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
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+ | No log | 1.0 | 3 | 3.5743 | 0.1145 | 16.6 |
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+ | No log | 2.0 | 6 | 3.5283 | 0.1145 | 16.6 |
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+ | No log | 3.0 | 9 | 3.4859 | 0.1175 | 16.6 |
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+ | No log | 4.0 | 12 | 3.4466 | 0.1175 | 16.6 |
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+ | No log | 5.0 | 15 | 3.4214 | 0.1175 | 16.6 |
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+ | No log | 6.0 | 18 | 3.3876 | 0.1175 | 16.6 |
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+ | No log | 7.0 | 21 | 3.3581 | 0.1175 | 16.6 |
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+ | No log | 8.0 | 24 | 3.3310 | 0.1129 | 17.2667 |
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+ | No log | 9.0 | 27 | 3.3066 | 0.12 | 17.2667 |
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+ | No log | 10.0 | 30 | 3.2823 | 0.1505 | 17.2667 |
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+ | No log | 11.0 | 33 | 3.2576 | 0.1705 | 16.8667 |
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+ | No log | 12.0 | 36 | 3.2336 | 0.1705 | 16.8667 |
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+ | No log | 13.0 | 39 | 3.2109 | 0.1705 | 16.8667 |
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+ | No log | 14.0 | 42 | 3.1902 | 0.1897 | 16.9333 |
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+ | No log | 15.0 | 45 | 3.1704 | 0.1897 | 16.9333 |
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+ | No log | 16.0 | 48 | 3.1519 | 0.1385 | 16.1333 |
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+ | No log | 17.0 | 51 | 3.1350 | 0.1385 | 16.1333 |
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+ | No log | 18.0 | 54 | 3.1178 | 0.1385 | 16.1333 |
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+ | No log | 19.0 | 57 | 3.1011 | 0.1385 | 16.1333 |
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+ | No log | 20.0 | 60 | 3.0855 | 0.1385 | 16.1333 |
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+ | No log | 21.0 | 63 | 3.0693 | 0.1177 | 16.1333 |
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+ | No log | 22.0 | 66 | 3.0527 | 0.1177 | 16.1333 |
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+ | No log | 23.0 | 69 | 3.0359 | 0.1232 | 15.5333 |
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+ | No log | 24.0 | 72 | 3.0191 | 0.0854 | 15.5333 |
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+ | No log | 25.0 | 75 | 3.0031 | 0.0854 | 15.5333 |
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+ | No log | 26.0 | 78 | 2.9889 | 0.0854 | 15.5333 |
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+ | No log | 27.0 | 81 | 2.9742 | 0.1027 | 15.5333 |
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+ | No log | 28.0 | 84 | 2.9586 | 0.1148 | 15.5333 |
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+ | No log | 29.0 | 87 | 2.9438 | 0.1148 | 15.5333 |
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+ | No log | 30.0 | 90 | 2.9302 | 0.1148 | 15.5333 |
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+ | No log | 31.0 | 93 | 2.9169 | 0.0876 | 15.5333 |
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+ | No log | 32.0 | 96 | 2.9043 | 0.0876 | 15.5333 |
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+ | No log | 33.0 | 99 | 2.8911 | 0.0885 | 15.5333 |
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+ | No log | 34.0 | 102 | 2.8775 | 0.0885 | 15.5333 |
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+ | No log | 35.0 | 105 | 2.8648 | 0.1275 | 16.3333 |
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+ | No log | 36.0 | 108 | 2.8530 | 0.1736 | 16.3333 |
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+ | No log | 37.0 | 111 | 2.8417 | 0.172 | 16.3333 |
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+ | No log | 38.0 | 114 | 2.8300 | 0.1671 | 16.3333 |
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+ | No log | 39.0 | 117 | 2.8178 | 0.1671 | 16.3333 |
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+ | No log | 40.0 | 120 | 2.8065 | 0.1671 | 16.3333 |
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+ | No log | 41.0 | 123 | 2.7955 | 0.1671 | 16.3333 |
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+ | No log | 42.0 | 126 | 2.7849 | 0.2144 | 16.3333 |
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+ | No log | 43.0 | 129 | 2.7741 | 0.2287 | 16.3333 |
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+ | No log | 44.0 | 132 | 2.7643 | 0.2287 | 16.3333 |
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+ | No log | 45.0 | 135 | 2.7545 | 0.2287 | 16.3333 |
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+ | No log | 46.0 | 138 | 2.7456 | 0.2287 | 16.3333 |
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+ | No log | 47.0 | 141 | 2.7370 | 0.2547 | 16.3333 |
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+ | No log | 48.0 | 144 | 2.7284 | 0.2476 | 16.3333 |
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+ | No log | 49.0 | 147 | 2.7204 | 0.2493 | 16.3333 |
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+ | No log | 50.0 | 150 | 2.7122 | 0.3029 | 15.8 |
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+ | No log | 51.0 | 153 | 2.7035 | 0.3117 | 15.8 |
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+ | No log | 52.0 | 156 | 2.6946 | 0.3117 | 15.8 |
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+ | No log | 53.0 | 159 | 2.6857 | 0.3245 | 15.8 |
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+ | No log | 54.0 | 162 | 2.6773 | 0.3245 | 15.8 |
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+ | No log | 55.0 | 165 | 2.6701 | 0.3245 | 15.8 |
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+ | No log | 56.0 | 168 | 2.6620 | 0.3726 | 16.3333 |
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+ | No log | 57.0 | 171 | 2.6551 | 0.3755 | 16.3333 |
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+ | No log | 58.0 | 174 | 2.6480 | 0.3755 | 16.3333 |
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+ | No log | 59.0 | 177 | 2.6419 | 0.3755 | 16.3333 |
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+ | No log | 60.0 | 180 | 2.6358 | 0.3755 | 16.3333 |
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+ | No log | 61.0 | 183 | 2.6290 | 0.4711 | 17.0667 |
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+ | No log | 62.0 | 186 | 2.6217 | 0.4701 | 16.8 |
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+ | No log | 63.0 | 189 | 2.6150 | 0.4701 | 16.8 |
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+ | No log | 64.0 | 192 | 2.6076 | 0.4701 | 16.8 |
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+ | No log | 65.0 | 195 | 2.6009 | 0.5002 | 17.0667 |
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+ | No log | 66.0 | 198 | 2.5941 | 0.4558 | 16.8667 |
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+ | No log | 67.0 | 201 | 2.5881 | 0.4586 | 16.8667 |
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+ | No log | 68.0 | 204 | 2.5820 | 0.4441 | 16.8667 |
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+ | No log | 69.0 | 207 | 2.5777 | 0.4441 | 16.8667 |
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+ | No log | 70.0 | 210 | 2.5732 | 0.4441 | 16.8667 |
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+ | No log | 71.0 | 213 | 2.5664 | 0.4441 | 16.8667 |
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+ | No log | 72.0 | 216 | 2.5602 | 0.487 | 17.0667 |
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+ | No log | 73.0 | 219 | 2.5539 | 0.487 | 17.0667 |
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+ | No log | 74.0 | 222 | 2.5477 | 0.487 | 17.0667 |
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+ | No log | 75.0 | 225 | 2.5413 | 0.487 | 17.0667 |
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+ | No log | 76.0 | 228 | 2.5356 | 0.4581 | 16.8 |
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+ | No log | 77.0 | 231 | 2.5288 | 0.4792 | 17.0 |
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+ | No log | 78.0 | 234 | 2.5237 | 0.4441 | 16.8667 |
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+ | No log | 79.0 | 237 | 2.5180 | 0.3405 | 16.8667 |
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+ | No log | 80.0 | 240 | 2.5115 | 0.3405 | 16.8667 |
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+ | No log | 81.0 | 243 | 2.5055 | 0.3405 | 16.8667 |
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+ | No log | 82.0 | 246 | 2.4995 | 0.3405 | 16.8667 |
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+ | No log | 83.0 | 249 | 2.4940 | 0.3405 | 16.8667 |
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+ | No log | 84.0 | 252 | 2.4895 | 0.3405 | 16.8667 |
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+ | No log | 85.0 | 255 | 2.4859 | 0.5174 | 16.8667 |
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+ | No log | 86.0 | 258 | 2.4817 | 0.5185 | 16.8667 |
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+ | No log | 87.0 | 261 | 2.4772 | 0.5185 | 16.8667 |
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+ | No log | 88.0 | 264 | 2.4735 | 0.5185 | 16.8667 |
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+ | No log | 89.0 | 267 | 2.4698 | 0.5185 | 16.8667 |
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+ | No log | 90.0 | 270 | 2.4658 | 0.5185 | 16.8667 |
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+ | No log | 91.0 | 273 | 2.4615 | 0.5185 | 16.8667 |
145
+ | No log | 92.0 | 276 | 2.4573 | 0.5224 | 16.8667 |
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+ | No log | 93.0 | 279 | 2.4524 | 0.3979 | 16.8667 |
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+ | No log | 94.0 | 282 | 2.4477 | 0.3979 | 16.8667 |
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+ | No log | 95.0 | 285 | 2.4418 | 0.3979 | 16.8667 |
149
+ | No log | 96.0 | 288 | 2.4367 | 0.3971 | 16.8667 |
150
+ | No log | 97.0 | 291 | 2.4320 | 0.3878 | 16.8667 |
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+ | No log | 98.0 | 294 | 2.4285 | 0.3878 | 16.8667 |
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+ | No log | 99.0 | 297 | 2.4254 | 0.513 | 16.8667 |
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+ | No log | 100.0 | 300 | 2.4213 | 0.513 | 16.8667 |
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+ | No log | 101.0 | 303 | 2.4163 | 0.5002 | 16.8667 |
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+ | No log | 102.0 | 306 | 2.4118 | 0.5002 | 16.8667 |
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+ | No log | 103.0 | 309 | 2.4075 | 0.4991 | 16.8667 |
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+ | No log | 104.0 | 312 | 2.4036 | 0.4991 | 16.8667 |
158
+ | No log | 105.0 | 315 | 2.3989 | 0.4991 | 16.8667 |
159
+ | No log | 106.0 | 318 | 2.3945 | 0.4991 | 16.8667 |
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+ | No log | 107.0 | 321 | 2.3919 | 0.4991 | 16.8667 |
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+ | No log | 108.0 | 324 | 2.3884 | 0.4991 | 16.8667 |
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+ | No log | 109.0 | 327 | 2.3853 | 0.4991 | 16.8667 |
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+ | No log | 110.0 | 330 | 2.3818 | 0.4991 | 16.8667 |
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+ | No log | 111.0 | 333 | 2.3781 | 0.4721 | 16.8667 |
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+ | No log | 112.0 | 336 | 2.3748 | 0.4721 | 16.8667 |
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+ | No log | 113.0 | 339 | 2.3718 | 0.4721 | 16.8667 |
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+ | No log | 114.0 | 342 | 2.3688 | 0.4721 | 16.8667 |
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+ | No log | 115.0 | 345 | 2.3656 | 0.4721 | 16.8667 |
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+ | No log | 116.0 | 348 | 2.3619 | 0.4781 | 16.9333 |
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+ | No log | 117.0 | 351 | 2.3589 | 0.507 | 16.9333 |
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+ | No log | 118.0 | 354 | 2.3559 | 0.5092 | 16.9333 |
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+ | No log | 119.0 | 357 | 2.3521 | 0.5092 | 16.9333 |
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+ | No log | 120.0 | 360 | 2.3495 | 0.4745 | 16.6 |
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+ | No log | 121.0 | 363 | 2.3462 | 0.4745 | 16.6 |
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+ | No log | 122.0 | 366 | 2.3432 | 0.4745 | 16.6 |
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+ | No log | 123.0 | 369 | 2.3398 | 0.4833 | 16.5333 |
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+ | No log | 124.0 | 372 | 2.3375 | 0.4833 | 16.5333 |
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+ | No log | 125.0 | 375 | 2.3348 | 0.4833 | 16.5333 |
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+ | No log | 126.0 | 378 | 2.3320 | 0.4853 | 16.5333 |
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+ | No log | 127.0 | 381 | 2.3292 | 0.4739 | 16.5333 |
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+ | No log | 128.0 | 384 | 2.3260 | 0.4707 | 16.4 |
182
+ | No log | 129.0 | 387 | 2.3235 | 0.4596 | 16.4 |
183
+ | No log | 130.0 | 390 | 2.3207 | 0.4596 | 16.4 |
184
+ | No log | 131.0 | 393 | 2.3185 | 0.4596 | 16.4 |
185
+ | No log | 132.0 | 396 | 2.3160 | 0.4596 | 16.4 |
186
+ | No log | 133.0 | 399 | 2.3133 | 0.4357 | 16.2 |
187
+ | No log | 134.0 | 402 | 2.3108 | 0.4357 | 16.2 |
188
+ | No log | 135.0 | 405 | 2.3084 | 0.4357 | 16.2 |
189
+ | No log | 136.0 | 408 | 2.3062 | 0.4357 | 16.2 |
190
+ | No log | 137.0 | 411 | 2.3048 | 0.4357 | 16.2 |
191
+ | No log | 138.0 | 414 | 2.3029 | 0.4357 | 16.2 |
192
+ | No log | 139.0 | 417 | 2.3002 | 0.4357 | 16.2 |
193
+ | No log | 140.0 | 420 | 2.2969 | 0.4357 | 16.2 |
194
+ | No log | 141.0 | 423 | 2.2941 | 0.4357 | 16.4 |
195
+ | No log | 142.0 | 426 | 2.2911 | 0.4357 | 16.4 |
196
+ | No log | 143.0 | 429 | 2.2889 | 0.4357 | 16.4 |
197
+ | No log | 144.0 | 432 | 2.2870 | 0.4357 | 16.4 |
198
+ | No log | 145.0 | 435 | 2.2850 | 0.4357 | 16.4 |
199
+ | No log | 146.0 | 438 | 2.2829 | 0.4357 | 16.4 |
200
+ | No log | 147.0 | 441 | 2.2802 | 0.4357 | 16.4 |
201
+ | No log | 148.0 | 444 | 2.2778 | 0.4357 | 16.4 |
202
+ | No log | 149.0 | 447 | 2.2760 | 0.4357 | 16.4 |
203
+ | No log | 150.0 | 450 | 2.2744 | 0.4357 | 16.4 |
204
+ | No log | 151.0 | 453 | 2.2723 | 0.4357 | 16.4 |
205
+ | No log | 152.0 | 456 | 2.2701 | 0.4571 | 16.5333 |
206
+ | No log | 153.0 | 459 | 2.2672 | 0.4571 | 16.5333 |
207
+ | No log | 154.0 | 462 | 2.2658 | 0.4571 | 16.5333 |
208
+ | No log | 155.0 | 465 | 2.2636 | 0.4571 | 16.5333 |
209
+ | No log | 156.0 | 468 | 2.2624 | 0.4571 | 16.5333 |
210
+ | No log | 157.0 | 471 | 2.2608 | 0.4571 | 16.5333 |
211
+ | No log | 158.0 | 474 | 2.2589 | 0.4571 | 16.5333 |
212
+ | No log | 159.0 | 477 | 2.2575 | 0.4571 | 16.5333 |
213
+ | No log | 160.0 | 480 | 2.2555 | 0.4571 | 16.5333 |
214
+ | No log | 161.0 | 483 | 2.2535 | 0.4571 | 16.5333 |
215
+ | No log | 162.0 | 486 | 2.2514 | 0.4571 | 16.5333 |
216
+ | No log | 163.0 | 489 | 2.2497 | 0.4571 | 16.5333 |
217
+ | No log | 164.0 | 492 | 2.2480 | 0.4379 | 16.4 |
218
+ | No log | 165.0 | 495 | 2.2461 | 0.4379 | 16.4 |
219
+ | No log | 166.0 | 498 | 2.2444 | 0.4379 | 16.4 |
220
+ | 2.3355 | 167.0 | 501 | 2.2431 | 0.4379 | 16.4 |
221
+ | 2.3355 | 168.0 | 504 | 2.2417 | 0.4339 | 16.4 |
222
+ | 2.3355 | 169.0 | 507 | 2.2402 | 0.4339 | 16.4 |
223
+ | 2.3355 | 170.0 | 510 | 2.2392 | 0.4339 | 16.4 |
224
+ | 2.3355 | 171.0 | 513 | 2.2386 | 0.4339 | 16.4 |
225
+ | 2.3355 | 172.0 | 516 | 2.2375 | 0.4339 | 16.4 |
226
+ | 2.3355 | 173.0 | 519 | 2.2357 | 0.4339 | 16.4 |
227
+ | 2.3355 | 174.0 | 522 | 2.2338 | 0.4339 | 16.4 |
228
+ | 2.3355 | 175.0 | 525 | 2.2322 | 0.4339 | 16.4 |
229
+ | 2.3355 | 176.0 | 528 | 2.2302 | 0.4348 | 16.4 |
230
+ | 2.3355 | 177.0 | 531 | 2.2286 | 0.4348 | 16.4 |
231
+ | 2.3355 | 178.0 | 534 | 2.2275 | 0.4339 | 16.4 |
232
+ | 2.3355 | 179.0 | 537 | 2.2257 | 0.4339 | 16.4 |
233
+ | 2.3355 | 180.0 | 540 | 2.2242 | 0.4339 | 16.4 |
234
+ | 2.3355 | 181.0 | 543 | 2.2230 | 0.4339 | 16.4 |
235
+ | 2.3355 | 182.0 | 546 | 2.2218 | 0.4339 | 16.4 |
236
+ | 2.3355 | 183.0 | 549 | 2.2194 | 0.4348 | 16.4 |
237
+ | 2.3355 | 184.0 | 552 | 2.2173 | 0.4348 | 16.4 |
238
+ | 2.3355 | 185.0 | 555 | 2.2154 | 0.4348 | 16.4 |
239
+ | 2.3355 | 186.0 | 558 | 2.2139 | 0.4348 | 16.4 |
240
+ | 2.3355 | 187.0 | 561 | 2.2124 | 0.4348 | 16.4 |
241
+ | 2.3355 | 188.0 | 564 | 2.2111 | 0.4348 | 16.4 |
242
+ | 2.3355 | 189.0 | 567 | 2.2101 | 0.4348 | 16.4 |
243
+ | 2.3355 | 190.0 | 570 | 2.2088 | 0.4357 | 16.4 |
244
+ | 2.3355 | 191.0 | 573 | 2.2088 | 0.4348 | 16.4 |
245
+ | 2.3355 | 192.0 | 576 | 2.2078 | 0.4597 | 16.4 |
246
+ | 2.3355 | 193.0 | 579 | 2.2067 | 0.4597 | 16.4 |
247
+ | 2.3355 | 194.0 | 582 | 2.2051 | 0.4597 | 16.4 |
248
+ | 2.3355 | 195.0 | 585 | 2.2037 | 0.4597 | 16.4 |
249
+ | 2.3355 | 196.0 | 588 | 2.2026 | 0.4597 | 16.4 |
250
+ | 2.3355 | 197.0 | 591 | 2.2019 | 0.4597 | 16.4 |
251
+ | 2.3355 | 198.0 | 594 | 2.2008 | 0.4597 | 16.4 |
252
+ | 2.3355 | 199.0 | 597 | 2.1999 | 0.4514 | 16.4 |
253
+ | 2.3355 | 200.0 | 600 | 2.1983 | 0.4524 | 16.4 |
254
+ | 2.3355 | 201.0 | 603 | 2.1969 | 0.4524 | 16.4 |
255
+ | 2.3355 | 202.0 | 606 | 2.1950 | 0.4524 | 16.4 |
256
+ | 2.3355 | 203.0 | 609 | 2.1934 | 0.4524 | 16.4 |
257
+ | 2.3355 | 204.0 | 612 | 2.1922 | 0.4524 | 16.4 |
258
+ | 2.3355 | 205.0 | 615 | 2.1911 | 0.4524 | 16.4 |
259
+ | 2.3355 | 206.0 | 618 | 2.1900 | 0.4524 | 16.4 |
260
+ | 2.3355 | 207.0 | 621 | 2.1888 | 0.4524 | 16.4 |
261
+ | 2.3355 | 208.0 | 624 | 2.1878 | 0.4524 | 16.4 |
262
+ | 2.3355 | 209.0 | 627 | 2.1869 | 0.4524 | 16.4 |
263
+ | 2.3355 | 210.0 | 630 | 2.1862 | 0.4524 | 16.4 |
264
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265
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266
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267
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268
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269
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270
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271
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272
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273
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274
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275
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276
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277
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278
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279
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280
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281
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282
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283
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284
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285
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286
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287
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288
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289
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290
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291
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292
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293
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294
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295
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296
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297
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298
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299
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300
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301
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302
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303
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304
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305
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306
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307
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309
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310
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311
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312
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313
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314
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315
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316
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317
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318
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319
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320
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321
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322
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323
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324
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325
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326
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327
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328
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329
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330
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331
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332
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333
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334
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335
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336
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337
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338
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339
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340
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341
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342
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343
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344
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345
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346
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347
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348
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349
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350
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351
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352
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353
+ | 2.3355 | 300.0 | 900 | 2.1514 | 0.4495 | 16.2667 |
354
 
355
 
356
  ### Framework versions
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