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xsestech
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skilltext

Text2Text Generation
Transformers
Safetensors
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
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Training in progress, step 500

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  1. README.md +58 -44
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -17,13 +17,13 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [ai-forever/ruT5-base](https://huggingface.co/ai-forever/ruT5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.1336
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- - Rouge1: 36.6977
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- - Rouge2: 18.3675
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- - Rougel: 33.39
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- - Rougelsum: 33.228
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- - Bleu: 1.5692
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- - Gen Len: 18.75
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  ## Model description
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@@ -55,43 +55,57 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu | Gen Len |
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  |:-------------:|:-------:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:------:|:-------:|
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- | No log | 0.8065 | 50 | 1.9354 | 16.2951 | 4.8512 | 15.4376 | 15.441 | 0.6506 | 19.0 |
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- | No log | 1.6129 | 100 | 1.6656 | 19.5019 | 7.2001 | 18.8027 | 18.7638 | 0.594 | 19.0 |
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- | No log | 2.4194 | 150 | 1.5313 | 26.0869 | 11.2464 | 24.6085 | 24.0936 | 0.7185 | 18.4375 |
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- | No log | 3.2258 | 200 | 1.3688 | 26.6556 | 10.2516 | 25.4266 | 25.2205 | 0.8019 | 18.9375 |
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- | No log | 4.0323 | 250 | 1.3278 | 30.3107 | 16.1963 | 29.45 | 29.3516 | 0.9436 | 18.6875 |
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- | No log | 4.8387 | 300 | 1.2528 | 29.4018 | 13.6013 | 28.5142 | 28.3839 | 0.8982 | 18.8125 |
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- | No log | 5.6452 | 350 | 1.1710 | 30.4376 | 15.8148 | 28.1455 | 28.1251 | 1.0094 | 18.5625 |
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- | No log | 6.4516 | 400 | 1.1587 | 32.0952 | 15.6704 | 29.448 | 29.2287 | 0.9544 | 18.75 |
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- | No log | 7.2581 | 450 | 1.1462 | 34.8699 | 16.6354 | 32.2466 | 32.0099 | 1.1543 | 18.75 |
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- | 2.1867 | 8.0645 | 500 | 1.1531 | 38.1367 | 19.5983 | 35.6417 | 35.5354 | 1.156 | 18.625 |
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- | 2.1867 | 8.8710 | 550 | 1.1414 | 38.1785 | 19.9507 | 35.8596 | 35.754 | 1.0002 | 18.4375 |
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- | 2.1867 | 9.6774 | 600 | 1.1154 | 37.4513 | 20.4127 | 35.0672 | 35.1356 | 1.1571 | 18.375 |
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- | 2.1867 | 10.4839 | 650 | 1.1313 | 39.9692 | 22.8346 | 37.9243 | 37.8991 | 1.0607 | 18.375 |
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- | 2.1867 | 11.2903 | 700 | 1.1038 | 41.2595 | 26.6622 | 38.5816 | 38.0719 | 1.4158 | 18.625 |
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- | 2.1867 | 12.0968 | 750 | 1.1211 | 37.9702 | 20.308 | 35.0885 | 35.0968 | 1.1778 | 18.5625 |
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- | 2.1867 | 12.9032 | 800 | 1.1093 | 40.779 | 22.5908 | 38.9412 | 38.4138 | 1.4705 | 18.6875 |
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- | 2.1867 | 13.7097 | 850 | 1.0986 | 39.135 | 22.7832 | 37.1735 | 36.7976 | 1.4786 | 18.625 |
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- | 2.1867 | 14.5161 | 900 | 1.0948 | 39.023 | 23.3971 | 36.453 | 36.8176 | 1.6583 | 18.5625 |
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- | 2.1867 | 15.3226 | 950 | 1.0863 | 35.3105 | 20.0898 | 32.9446 | 33.4276 | 1.3792 | 18.625 |
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- | 0.9823 | 16.1290 | 1000 | 1.0708 | 36.8626 | 20.9323 | 34.8047 | 34.3997 | 1.326 | 18.75 |
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- | 0.9823 | 16.9355 | 1050 | 1.1206 | 35.2449 | 18.4541 | 33.2371 | 33.1517 | 1.4287 | 18.6875 |
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- | 0.9823 | 17.7419 | 1100 | 1.0607 | 36.4142 | 19.401 | 33.6263 | 33.3147 | 1.4083 | 18.75 |
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- | 0.9823 | 18.5484 | 1150 | 1.0700 | 37.1307 | 23.7712 | 36.1994 | 36.4324 | 1.5459 | 18.9375 |
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- | 0.9823 | 19.3548 | 1200 | 1.1096 | 36.0131 | 20.9223 | 34.8256 | 35.1558 | 1.5597 | 18.9375 |
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- | 0.9823 | 20.1613 | 1250 | 1.0649 | 37.1102 | 20.5373 | 34.4912 | 34.8616 | 1.5707 | 18.75 |
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- | 0.9823 | 20.9677 | 1300 | 1.0845 | 36.6058 | 20.0812 | 34.4313 | 34.7778 | 1.4728 | 18.75 |
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- | 0.9823 | 21.7742 | 1350 | 1.0907 | 36.1128 | 19.5435 | 33.9691 | 33.8883 | 1.5862 | 18.75 |
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- | 0.9823 | 22.5806 | 1400 | 1.1001 | 35.3522 | 17.4788 | 32.9141 | 32.6285 | 1.6144 | 18.75 |
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- | 0.9823 | 23.3871 | 1450 | 1.1312 | 37.2085 | 20.9517 | 34.6124 | 34.7443 | 1.5977 | 18.75 |
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- | 0.717 | 24.1935 | 1500 | 1.1230 | 35.2227 | 19.1712 | 33.0973 | 32.8891 | 1.662 | 18.75 |
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- | 0.717 | 25.0 | 1550 | 1.1096 | 35.3271 | 18.9454 | 33.1794 | 33.1112 | 1.4402 | 18.75 |
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- | 0.717 | 25.8065 | 1600 | 1.1325 | 36.9198 | 19.3878 | 34.0516 | 34.1622 | 1.4646 | 18.75 |
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- | 0.717 | 26.6129 | 1650 | 1.1274 | 37.309 | 19.8905 | 34.6163 | 34.7457 | 1.4478 | 18.75 |
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- | 0.717 | 27.4194 | 1700 | 1.1375 | 41.3137 | 21.9617 | 39.6297 | 39.1071 | 1.0891 | 18.6875 |
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- | 0.717 | 28.2258 | 1750 | 1.1307 | 40.4945 | 20.5615 | 38.2536 | 37.6927 | 1.2074 | 18.6875 |
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- | 0.717 | 29.0323 | 1800 | 1.1371 | 36.6977 | 18.3675 | 33.39 | 33.228 | 1.5783 | 18.75 |
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- | 0.717 | 29.8387 | 1850 | 1.1336 | 36.6977 | 18.3675 | 33.39 | 33.228 | 1.5692 | 18.75 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [ai-forever/ruT5-base](https://huggingface.co/ai-forever/ruT5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0396
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+ - Rouge1: 35.5496
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+ - Rouge2: 22.9927
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+ - Rougel: 33.7986
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+ - Rougelsum: 33.9427
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+ - Bleu: 3.0002
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+ - Gen Len: 18.7273
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu | Gen Len |
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  |:-------------:|:-------:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:------:|:-------:|
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+ | No log | 0.5882 | 50 | 2.0006 | 22.8478 | 9.3528 | 21.5245 | 21.4195 | 1.3965 | 19.0 |
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+ | No log | 1.1765 | 100 | 1.5029 | 26.0894 | 12.5184 | 22.7242 | 22.8568 | 1.7386 | 18.9545 |
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+ | No log | 1.7647 | 150 | 1.4072 | 24.1385 | 9.8714 | 22.0278 | 22.0679 | 2.009 | 18.9545 |
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+ | No log | 2.3529 | 200 | 1.3292 | 27.642 | 12.2998 | 26.3455 | 25.9994 | 1.2632 | 18.7727 |
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+ | No log | 2.9412 | 250 | 1.2788 | 32.096 | 12.3806 | 30.9883 | 30.6962 | 1.6429 | 18.7273 |
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+ | No log | 3.5294 | 300 | 1.1847 | 31.8602 | 21.2094 | 31.1454 | 30.9145 | 1.5913 | 18.8636 |
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+ | No log | 4.1176 | 350 | 1.2193 | 22.6777 | 11.7225 | 22.1941 | 22.1638 | 1.4306 | 18.7727 |
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+ | No log | 4.7059 | 400 | 1.1527 | 23.4161 | 11.2979 | 22.9918 | 23.0266 | 1.7552 | 18.8636 |
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+ | No log | 5.2941 | 450 | 1.1200 | 28.9205 | 15.5233 | 27.153 | 27.2644 | 1.8557 | 18.7273 |
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+ | 2.1495 | 5.8824 | 500 | 1.1426 | 28.2199 | 13.8386 | 26.9115 | 26.5472 | 2.3855 | 18.7273 |
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+ | 2.1495 | 6.4706 | 550 | 1.1053 | 32.432 | 18.9395 | 30.9397 | 31.1198 | 2.2867 | 18.7727 |
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+ | 2.1495 | 7.0588 | 600 | 1.0777 | 38.285 | 23.5443 | 35.0994 | 35.3165 | 2.6353 | 18.7727 |
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+ | 2.1495 | 7.6471 | 650 | 1.0900 | 38.5934 | 21.6941 | 36.5629 | 36.9151 | 2.2212 | 18.7727 |
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+ | 2.1495 | 8.2353 | 700 | 1.0931 | 41.2586 | 27.5923 | 40.1612 | 40.1672 | 2.5568 | 18.8182 |
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+ | 2.1495 | 8.8235 | 750 | 1.0691 | 38.3785 | 25.0231 | 38.453 | 38.5248 | 2.4491 | 18.7273 |
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+ | 2.1495 | 9.4118 | 800 | 1.0627 | 36.3073 | 20.703 | 35.2405 | 35.3787 | 2.3678 | 18.8636 |
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+ | 2.1495 | 10.0 | 850 | 1.0528 | 39.1894 | 24.8355 | 39.3713 | 39.483 | 1.9687 | 18.8636 |
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+ | 2.1495 | 10.5882 | 900 | 1.0628 | 40.0052 | 23.746 | 38.8726 | 39.077 | 2.0485 | 18.8636 |
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+ | 2.1495 | 11.1765 | 950 | 1.0371 | 34.4982 | 23.4663 | 34.1685 | 34.1247 | 2.0922 | 18.8636 |
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+ | 1.046 | 11.7647 | 1000 | 1.0368 | 38.0619 | 19.7898 | 36.4367 | 36.8115 | 2.3387 | 18.8636 |
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+ | 1.046 | 12.3529 | 1050 | 1.0427 | 38.9055 | 25.1615 | 38.8253 | 38.9385 | 2.5522 | 18.8182 |
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+ | 1.046 | 12.9412 | 1100 | 1.0255 | 36.5256 | 21.2328 | 34.8816 | 35.2236 | 2.4057 | 18.8182 |
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+ | 1.046 | 13.5294 | 1150 | 1.0237 | 36.0048 | 25.3977 | 35.9471 | 35.9807 | 2.4804 | 18.8182 |
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+ | 1.046 | 14.1176 | 1200 | 0.9918 | 32.6697 | 21.3968 | 30.8639 | 31.0221 | 2.4669 | 18.7727 |
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+ | 1.046 | 14.7059 | 1250 | 1.0598 | 37.7878 | 20.6971 | 36.6794 | 36.7289 | 2.5767 | 18.7727 |
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+ | 1.046 | 15.2941 | 1300 | 1.0130 | 34.549 | 24.4177 | 34.0376 | 34.1226 | 2.1773 | 18.8182 |
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+ | 1.046 | 15.8824 | 1350 | 1.0256 | 32.774 | 19.6047 | 31.6125 | 31.9067 | 2.0504 | 18.7727 |
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+ | 1.046 | 16.4706 | 1400 | 1.0232 | 31.4885 | 18.4703 | 30.0937 | 30.5529 | 2.514 | 18.8182 |
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+ | 1.046 | 17.0588 | 1450 | 1.0210 | 33.4684 | 20.7982 | 31.7789 | 32.0023 | 2.4881 | 18.7273 |
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+ | 0.7674 | 17.6471 | 1500 | 1.0419 | 37.4914 | 20.9444 | 35.0519 | 35.2368 | 3.0058 | 18.7727 |
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+ | 0.7674 | 18.2353 | 1550 | 1.0328 | 36.5606 | 21.0215 | 35.2548 | 35.4748 | 2.7878 | 18.7273 |
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+ | 0.7674 | 18.8235 | 1600 | 1.0376 | 31.3516 | 18.5826 | 29.6759 | 29.8435 | 2.3192 | 18.8182 |
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+ | 0.7674 | 19.4118 | 1650 | 1.0414 | 37.4725 | 22.3216 | 35.6306 | 35.7383 | 2.477 | 18.8182 |
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+ | 0.7674 | 20.0 | 1700 | 1.0513 | 39.5759 | 23.2665 | 39.2332 | 39.3667 | 2.4322 | 18.7273 |
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+ | 0.7674 | 20.5882 | 1750 | 1.0518 | 36.1526 | 23.8263 | 34.5677 | 34.6173 | 2.8518 | 18.7727 |
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+ | 0.7674 | 21.1765 | 1800 | 1.0446 | 41.5192 | 23.3064 | 39.3799 | 39.6548 | 3.0326 | 18.8182 |
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+ | 0.7674 | 21.7647 | 1850 | 1.0150 | 40.5093 | 21.8683 | 38.2773 | 38.6063 | 2.6653 | 18.8636 |
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+ | 0.7674 | 22.3529 | 1900 | 1.0364 | 34.2216 | 20.2095 | 32.5945 | 32.6999 | 2.6078 | 18.8182 |
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+ | 0.7674 | 22.9412 | 1950 | 1.0148 | 39.8173 | 20.6247 | 37.2954 | 37.6752 | 3.0336 | 18.8636 |
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+ | 0.6485 | 23.5294 | 2000 | 1.0429 | 40.2889 | 21.1598 | 37.7657 | 38.0596 | 2.9108 | 18.8182 |
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+ | 0.6485 | 24.1176 | 2050 | 1.0423 | 39.2679 | 20.8842 | 36.7395 | 36.9295 | 2.845 | 18.8636 |
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+ | 0.6485 | 24.7059 | 2100 | 1.0358 | 39.086 | 20.7799 | 36.2138 | 36.3741 | 2.9429 | 18.8182 |
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+ | 0.6485 | 25.2941 | 2150 | 1.0219 | 38.754 | 22.4097 | 36.9752 | 37.121 | 2.831 | 18.8182 |
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+ | 0.6485 | 25.8824 | 2200 | 1.0450 | 38.3531 | 22.3593 | 36.4439 | 36.6304 | 2.9804 | 18.7727 |
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+ | 0.6485 | 26.4706 | 2250 | 1.0482 | 40.6921 | 23.617 | 39.298 | 39.5895 | 3.0971 | 18.7727 |
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+ | 0.6485 | 27.0588 | 2300 | 1.0495 | 39.6761 | 22.7969 | 37.0805 | 37.4949 | 3.2639 | 18.7727 |
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+ | 0.6485 | 27.6471 | 2350 | 1.0412 | 40.8199 | 23.7109 | 38.9222 | 39.2493 | 3.0267 | 18.7273 |
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+ | 0.6485 | 28.2353 | 2400 | 1.0453 | 39.9504 | 23.888 | 38.0725 | 38.3121 | 3.2191 | 18.7727 |
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+ | 0.6485 | 28.8235 | 2450 | 1.0400 | 36.205 | 23.1356 | 34.6087 | 34.6263 | 3.028 | 18.7727 |
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+ | 0.5501 | 29.4118 | 2500 | 1.0402 | 35.033 | 22.2393 | 33.3754 | 33.4477 | 3.0299 | 18.7273 |
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+ | 0.5501 | 30.0 | 2550 | 1.0396 | 35.5496 | 22.9927 | 33.7986 | 33.9427 | 3.0002 | 18.7273 |
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  ### Framework versions
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