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ombarki345
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my_awesome_opus_books_model

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

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  1. README.md +102 -102
  2. runs/Mar19_13-05-37_8c0752404c4a/events.out.tfevents.1710853538.8c0752404c4a.34.0 +2 -2
README.md CHANGED
@@ -17,8 +17,8 @@ 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: 1.9121
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- - Bleu: 0.0681
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  - Gen Len: 19.0
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  ## Model description
@@ -51,106 +51,106 @@ The following hyperparameters were used during training:
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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 | 15 | 3.8537 | 0.0406 | 19.0 |
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- | No log | 2.0 | 30 | 3.3215 | 0.0355 | 19.0 |
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- | No log | 3.0 | 45 | 3.0488 | 0.0322 | 19.0 |
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- | No log | 4.0 | 60 | 2.8891 | 0.0327 | 19.0 |
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- | No log | 5.0 | 75 | 2.7809 | 0.0451 | 19.0 |
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- | No log | 6.0 | 90 | 2.7010 | 0.0489 | 19.0 |
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- | No log | 7.0 | 105 | 2.6242 | 0.0416 | 19.0 |
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- | No log | 8.0 | 120 | 2.5600 | 0.053 | 19.0 |
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- | No log | 9.0 | 135 | 2.5093 | 0.0512 | 19.0 |
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- | No log | 10.0 | 150 | 2.4712 | 0.0526 | 19.0 |
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- | No log | 11.0 | 165 | 2.4346 | 0.0854 | 19.0 |
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- | No log | 12.0 | 180 | 2.3966 | 0.0892 | 19.0 |
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- | No log | 13.0 | 195 | 2.3590 | 0.1197 | 19.0 |
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- | No log | 14.0 | 210 | 2.3271 | 0.1243 | 19.0 |
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- | No log | 15.0 | 225 | 2.2995 | 0.1243 | 19.0 |
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- | No log | 16.0 | 240 | 2.2742 | 0.1004 | 19.0 |
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- | No log | 17.0 | 255 | 2.2569 | 0.1073 | 19.0 |
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- | No log | 18.0 | 270 | 2.2399 | 0.1305 | 19.0 |
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- | No log | 19.0 | 285 | 2.2236 | 0.1288 | 19.0 |
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- | No log | 20.0 | 300 | 2.2085 | 0.1248 | 19.0 |
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- | No log | 21.0 | 315 | 2.1936 | 0.1153 | 19.0 |
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- | No log | 22.0 | 330 | 2.1801 | 0.093 | 19.0 |
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- | No log | 23.0 | 345 | 2.1685 | 0.1079 | 19.0 |
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- | No log | 24.0 | 360 | 2.1568 | 0.1079 | 19.0 |
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- | No log | 25.0 | 375 | 2.1464 | 0.0881 | 19.0 |
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- | No log | 26.0 | 390 | 2.1365 | 0.0881 | 19.0 |
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- | No log | 27.0 | 405 | 2.1264 | 0.0876 | 19.0 |
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- | No log | 28.0 | 420 | 2.1166 | 0.0858 | 19.0 |
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- | No log | 29.0 | 435 | 2.1079 | 0.0858 | 19.0 |
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- | No log | 30.0 | 450 | 2.1001 | 0.0863 | 19.0 |
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- | No log | 31.0 | 465 | 2.0919 | 0.0871 | 19.0 |
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- | No log | 32.0 | 480 | 2.0853 | 0.0833 | 19.0 |
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- | No log | 33.0 | 495 | 2.0781 | 0.0833 | 19.0 |
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- | 2.7093 | 34.0 | 510 | 2.0698 | 0.0833 | 19.0 |
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- | 2.7093 | 35.0 | 525 | 2.0632 | 0.0833 | 19.0 |
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- | 2.7093 | 36.0 | 540 | 2.0562 | 0.0828 | 19.0 |
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- | 2.7093 | 37.0 | 555 | 2.0514 | 0.0799 | 19.0 |
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- | 2.7093 | 38.0 | 570 | 2.0458 | 0.0761 | 19.0 |
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- | 2.7093 | 39.0 | 585 | 2.0400 | 0.0761 | 19.0 |
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- | 2.7093 | 40.0 | 600 | 2.0352 | 0.0799 | 19.0 |
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- | 2.7093 | 41.0 | 615 | 2.0297 | 0.0761 | 19.0 |
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- | 2.7093 | 42.0 | 630 | 2.0244 | 0.0748 | 19.0 |
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- | 2.7093 | 43.0 | 645 | 2.0200 | 0.075 | 19.0 |
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- | 2.7093 | 44.0 | 660 | 2.0155 | 0.0748 | 19.0 |
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- | 2.7093 | 45.0 | 675 | 2.0104 | 0.0748 | 19.0 |
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- | 2.7093 | 46.0 | 690 | 2.0053 | 0.075 | 19.0 |
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- | 2.7093 | 47.0 | 705 | 2.0012 | 0.075 | 19.0 |
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- | 2.7093 | 48.0 | 720 | 1.9966 | 0.075 | 19.0 |
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- | 2.7093 | 49.0 | 735 | 1.9923 | 0.075 | 19.0 |
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- | 2.7093 | 50.0 | 750 | 1.9890 | 0.075 | 19.0 |
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- | 2.7093 | 51.0 | 765 | 1.9856 | 0.0747 | 19.0 |
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- | 2.7093 | 52.0 | 780 | 1.9820 | 0.0747 | 19.0 |
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- | 2.7093 | 53.0 | 795 | 1.9793 | 0.0752 | 19.0 |
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- | 2.7093 | 54.0 | 810 | 1.9763 | 0.0733 | 19.0 |
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- | 2.7093 | 55.0 | 825 | 1.9731 | 0.0733 | 19.0 |
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- | 2.7093 | 56.0 | 840 | 1.9695 | 0.0733 | 19.0 |
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- | 2.7093 | 57.0 | 855 | 1.9666 | 0.0733 | 19.0 |
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- | 2.7093 | 58.0 | 870 | 1.9643 | 0.0733 | 19.0 |
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- | 2.7093 | 59.0 | 885 | 1.9617 | 0.0627 | 19.0 |
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- | 2.7093 | 60.0 | 900 | 1.9590 | 0.0732 | 19.0 |
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- | 2.7093 | 61.0 | 915 | 1.9561 | 0.0626 | 19.0 |
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- | 2.7093 | 62.0 | 930 | 1.9532 | 0.0626 | 19.0 |
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- | 2.7093 | 63.0 | 945 | 1.9509 | 0.0626 | 19.0 |
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- | 2.7093 | 64.0 | 960 | 1.9487 | 0.0626 | 19.0 |
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- | 2.7093 | 65.0 | 975 | 1.9473 | 0.0608 | 19.0 |
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- | 2.7093 | 66.0 | 990 | 1.9454 | 0.0608 | 19.0 |
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- | 2.1497 | 67.0 | 1005 | 1.9430 | 0.0613 | 19.0 |
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- | 2.1497 | 68.0 | 1020 | 1.9407 | 0.0613 | 19.0 |
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- | 2.1497 | 69.0 | 1035 | 1.9389 | 0.0613 | 19.0 |
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- | 2.1497 | 70.0 | 1050 | 1.9371 | 0.0613 | 19.0 |
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- | 2.1497 | 71.0 | 1065 | 1.9356 | 0.0613 | 19.0 |
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- | 2.1497 | 72.0 | 1080 | 1.9341 | 0.0613 | 19.0 |
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- | 2.1497 | 73.0 | 1095 | 1.9320 | 0.0613 | 19.0 |
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- | 2.1497 | 74.0 | 1110 | 1.9304 | 0.0681 | 19.0 |
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- | 2.1497 | 75.0 | 1125 | 1.9290 | 0.0681 | 19.0 |
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- | 2.1497 | 76.0 | 1140 | 1.9276 | 0.0681 | 19.0 |
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- | 2.1497 | 77.0 | 1155 | 1.9260 | 0.0681 | 19.0 |
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- | 2.1497 | 78.0 | 1170 | 1.9248 | 0.0681 | 19.0 |
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- | 2.1497 | 79.0 | 1185 | 1.9235 | 0.0681 | 19.0 |
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- | 2.1497 | 80.0 | 1200 | 1.9223 | 0.0681 | 19.0 |
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- | 2.1497 | 81.0 | 1215 | 1.9213 | 0.0681 | 19.0 |
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- | 2.1497 | 82.0 | 1230 | 1.9204 | 0.0681 | 19.0 |
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- | 2.1497 | 83.0 | 1245 | 1.9197 | 0.0681 | 19.0 |
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- | 2.1497 | 84.0 | 1260 | 1.9190 | 0.0681 | 19.0 |
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- | 2.1497 | 85.0 | 1275 | 1.9181 | 0.069 | 19.0 |
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- | 2.1497 | 86.0 | 1290 | 1.9175 | 0.069 | 19.0 |
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- | 2.1497 | 87.0 | 1305 | 1.9167 | 0.069 | 19.0 |
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- | 2.1497 | 88.0 | 1320 | 1.9159 | 0.069 | 19.0 |
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- | 2.1497 | 89.0 | 1335 | 1.9152 | 0.069 | 19.0 |
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- | 2.1497 | 90.0 | 1350 | 1.9145 | 0.069 | 19.0 |
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- | 2.1497 | 91.0 | 1365 | 1.9140 | 0.069 | 19.0 |
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- | 2.1497 | 92.0 | 1380 | 1.9136 | 0.069 | 19.0 |
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- | 2.1497 | 93.0 | 1395 | 1.9132 | 0.0681 | 19.0 |
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- | 2.1497 | 94.0 | 1410 | 1.9130 | 0.0681 | 19.0 |
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- | 2.1497 | 95.0 | 1425 | 1.9127 | 0.0681 | 19.0 |
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- | 2.1497 | 96.0 | 1440 | 1.9125 | 0.0681 | 19.0 |
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- | 2.1497 | 97.0 | 1455 | 1.9123 | 0.069 | 19.0 |
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- | 2.1497 | 98.0 | 1470 | 1.9122 | 0.069 | 19.0 |
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- | 2.1497 | 99.0 | 1485 | 1.9121 | 0.0681 | 19.0 |
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- | 2.0375 | 100.0 | 1500 | 1.9121 | 0.0681 | 19.0 |
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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: 3.3107
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+ - Bleu: 0.0143
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  - Gen Len: 19.0
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  ## Model description
 
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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 | 15 | 6.3635 | 0.0008 | 19.0 |
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+ | No log | 2.0 | 30 | 5.8107 | 0.0011 | 19.0 |
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+ | No log | 3.0 | 45 | 5.5407 | 0.0006 | 19.0 |
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+ | No log | 4.0 | 60 | 5.3596 | 0.0003 | 19.0 |
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+ | No log | 5.0 | 75 | 5.1147 | 0.0004 | 19.0 |
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+ | No log | 6.0 | 90 | 5.0018 | 0.0008 | 19.0 |
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+ | No log | 7.0 | 105 | 4.8949 | 0.0008 | 19.0 |
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+ | No log | 8.0 | 120 | 4.8042 | 0.0007 | 19.0 |
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+ | No log | 9.0 | 135 | 4.7144 | 0.0007 | 19.0 |
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+ | No log | 10.0 | 150 | 4.6325 | 0.001 | 19.0 |
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+ | No log | 11.0 | 165 | 4.5552 | 0.002 | 19.0 |
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+ | No log | 12.0 | 180 | 4.4837 | 0.0029 | 19.0 |
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+ | No log | 13.0 | 195 | 4.4080 | 0.0077 | 19.0 |
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+ | No log | 14.0 | 210 | 4.3378 | 0.0111 | 19.0 |
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+ | No log | 15.0 | 225 | 4.2740 | 0.0044 | 19.0 |
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+ | No log | 16.0 | 240 | 4.2069 | 0.0035 | 19.0 |
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+ | No log | 17.0 | 255 | 4.1457 | 0.0042 | 19.0 |
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+ | No log | 18.0 | 270 | 4.0861 | 0.0045 | 19.0 |
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+ | No log | 19.0 | 285 | 4.0249 | 0.0049 | 19.0 |
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+ | No log | 20.0 | 300 | 3.9686 | 0.0048 | 19.0 |
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+ | No log | 21.0 | 315 | 3.9081 | 0.005 | 19.0 |
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+ | No log | 22.0 | 330 | 3.8500 | 0.0028 | 19.0 |
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+ | No log | 23.0 | 345 | 3.8008 | 0.0012 | 19.0 |
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+ | No log | 24.0 | 360 | 3.7656 | 0.0011 | 19.0 |
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+ | No log | 25.0 | 375 | 3.7282 | 0.0016 | 19.0 |
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+ | No log | 26.0 | 390 | 3.6922 | 0.0017 | 19.0 |
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+ | No log | 27.0 | 405 | 3.6588 | 0.0019 | 19.0 |
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+ | No log | 28.0 | 420 | 3.6310 | 0.0009 | 19.0 |
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+ | No log | 29.0 | 435 | 3.6112 | 0.0091 | 19.0 |
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+ | No log | 30.0 | 450 | 3.5963 | 0.0055 | 19.0 |
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+ | No log | 31.0 | 465 | 3.5821 | 0.0021 | 19.0 |
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+ | No log | 32.0 | 480 | 3.5709 | 0.002 | 19.0 |
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+ | No log | 33.0 | 495 | 3.5629 | 0.001 | 19.0 |
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+ | 4.6251 | 34.0 | 510 | 3.5503 | 0.0008 | 19.0 |
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+ | 4.6251 | 35.0 | 525 | 3.5372 | 0.0008 | 19.0 |
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+ | 4.6251 | 36.0 | 540 | 3.5277 | 0.0008 | 19.0 |
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+ | 4.6251 | 37.0 | 555 | 3.5173 | 0.0014 | 19.0 |
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+ | 4.6251 | 38.0 | 570 | 3.5105 | 0.0032 | 19.0 |
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+ | 4.6251 | 39.0 | 585 | 3.5020 | 0.0043 | 19.0 |
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+ | 4.6251 | 40.0 | 600 | 3.4959 | 0.0045 | 19.0 |
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+ | 4.6251 | 41.0 | 615 | 3.4887 | 0.0039 | 19.0 |
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+ | 4.6251 | 42.0 | 630 | 3.4751 | 0.0044 | 19.0 |
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+ | 4.6251 | 43.0 | 645 | 3.4673 | 0.0038 | 19.0 |
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+ | 4.6251 | 44.0 | 660 | 3.4621 | 0.0047 | 19.0 |
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+ | 4.6251 | 45.0 | 675 | 3.4514 | 0.0048 | 19.0 |
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+ | 4.6251 | 46.0 | 690 | 3.4448 | 0.0066 | 19.0 |
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+ | 4.6251 | 47.0 | 705 | 3.4384 | 0.0067 | 19.0 |
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+ | 4.6251 | 48.0 | 720 | 3.4352 | 0.0092 | 19.0 |
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+ | 4.6251 | 49.0 | 735 | 3.4242 | 0.0106 | 19.0 |
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+ | 4.6251 | 50.0 | 750 | 3.4186 | 0.0129 | 19.0 |
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+ | 4.6251 | 51.0 | 765 | 3.4135 | 0.0117 | 19.0 |
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+ | 4.6251 | 52.0 | 780 | 3.4100 | 0.0128 | 19.0 |
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+ | 4.6251 | 53.0 | 795 | 3.4033 | 0.0046 | 19.0 |
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+ | 4.6251 | 54.0 | 810 | 3.3985 | 0.0064 | 19.0 |
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+ | 4.6251 | 55.0 | 825 | 3.3941 | 0.009 | 19.0 |
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+ | 4.6251 | 56.0 | 840 | 3.3896 | 0.0083 | 19.0 |
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+ | 4.6251 | 57.0 | 855 | 3.3888 | 0.0082 | 19.0 |
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+ | 4.6251 | 58.0 | 870 | 3.3827 | 0.0064 | 19.0 |
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+ | 4.6251 | 59.0 | 885 | 3.3775 | 0.0081 | 19.0 |
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+ | 4.6251 | 60.0 | 900 | 3.3726 | 0.0074 | 19.0 |
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+ | 4.6251 | 61.0 | 915 | 3.3689 | 0.0065 | 19.0 |
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+ | 4.6251 | 62.0 | 930 | 3.3671 | 0.0109 | 19.0 |
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+ | 4.6251 | 63.0 | 945 | 3.3640 | 0.0125 | 19.0 |
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+ | 4.6251 | 64.0 | 960 | 3.3586 | 0.0164 | 19.0 |
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+ | 4.6251 | 65.0 | 975 | 3.3527 | 0.0144 | 19.0 |
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+ | 4.6251 | 66.0 | 990 | 3.3526 | 0.0221 | 19.0 |
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+ | 3.5088 | 67.0 | 1005 | 3.3534 | 0.0136 | 19.0 |
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+ | 3.5088 | 68.0 | 1020 | 3.3490 | 0.0142 | 19.0 |
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+ | 3.5088 | 69.0 | 1035 | 3.3479 | 0.0162 | 19.0 |
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+ | 3.5088 | 70.0 | 1050 | 3.3452 | 0.0155 | 19.0 |
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+ | 3.5088 | 71.0 | 1065 | 3.3422 | 0.016 | 19.0 |
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+ | 3.5088 | 72.0 | 1080 | 3.3387 | 0.0104 | 19.0 |
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+ | 3.5088 | 73.0 | 1095 | 3.3349 | 0.0119 | 19.0 |
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+ | 3.5088 | 74.0 | 1110 | 3.3351 | 0.0096 | 19.0 |
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+ | 3.5088 | 75.0 | 1125 | 3.3349 | 0.0166 | 19.0 |
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+ | 3.5088 | 76.0 | 1140 | 3.3329 | 0.0132 | 19.0 |
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+ | 3.5088 | 77.0 | 1155 | 3.3299 | 0.0131 | 19.0 |
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+ | 3.5088 | 78.0 | 1170 | 3.3272 | 0.012 | 19.0 |
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+ | 3.5088 | 79.0 | 1185 | 3.3244 | 0.014 | 19.0 |
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+ | 3.5088 | 80.0 | 1200 | 3.3239 | 0.0133 | 19.0 |
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+ | 3.5088 | 81.0 | 1215 | 3.3239 | 0.0152 | 19.0 |
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+ | 3.5088 | 82.0 | 1230 | 3.3231 | 0.0158 | 19.0 |
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+ | 3.5088 | 83.0 | 1245 | 3.3209 | 0.0143 | 19.0 |
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+ | 3.5088 | 84.0 | 1260 | 3.3198 | 0.0155 | 19.0 |
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+ | 3.5088 | 85.0 | 1275 | 3.3185 | 0.0139 | 19.0 |
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+ | 3.5088 | 86.0 | 1290 | 3.3176 | 0.0133 | 19.0 |
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+ | 3.5088 | 87.0 | 1305 | 3.3164 | 0.0128 | 19.0 |
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+ | 3.5088 | 88.0 | 1320 | 3.3175 | 0.0159 | 19.0 |
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+ | 3.5088 | 89.0 | 1335 | 3.3166 | 0.0113 | 19.0 |
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+ | 3.5088 | 90.0 | 1350 | 3.3156 | 0.0142 | 19.0 |
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+ | 3.5088 | 91.0 | 1365 | 3.3151 | 0.0131 | 19.0 |
145
+ | 3.5088 | 92.0 | 1380 | 3.3146 | 0.0111 | 19.0 |
146
+ | 3.5088 | 93.0 | 1395 | 3.3131 | 0.0112 | 18.9833 |
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+ | 3.5088 | 94.0 | 1410 | 3.3121 | 0.0096 | 19.0 |
148
+ | 3.5088 | 95.0 | 1425 | 3.3117 | 0.012 | 19.0 |
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+ | 3.5088 | 96.0 | 1440 | 3.3112 | 0.0151 | 19.0 |
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+ | 3.5088 | 97.0 | 1455 | 3.3106 | 0.0133 | 19.0 |
151
+ | 3.5088 | 98.0 | 1470 | 3.3104 | 0.0115 | 19.0 |
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+ | 3.5088 | 99.0 | 1485 | 3.3107 | 0.0132 | 19.0 |
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+ | 3.3133 | 100.0 | 1500 | 3.3107 | 0.0143 | 19.0 |
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  ### Framework versions
runs/Mar19_13-05-37_8c0752404c4a/events.out.tfevents.1710853538.8c0752404c4a.34.0 CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- oid sha256:c777d7cee29c4728864b679e613da65379554e83cb6135d51b4d1b7ef5237017
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- size 42799
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:c8c729a0dd85afd367d1cae64a0c2cae1236872dcdc904df03a54e6ee5f9b3f8
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