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CommitPredictorT5

Text2Text Generation
Transformers
PyTorch
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
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update model card README.md

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@@ -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 [Salesforce/codet5-base-multi-sum](https://huggingface.co/Salesforce/codet5-base-multi-sum) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.6717
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- - Rouge1: 0.372
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- - Rouge2: 0.1507
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- - Rougel: 0.369
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- - Rougelsum: 0.3688
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- - Gen Len: 13.8906
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- - Bleu: 0.1392
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  ## Model description
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | Bleu |
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- |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|:------:|
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- | 3.2418 | 1.0 | 687 | 2.6988 | 0.3229 | 0.0914 | 0.3201 | 0.3198 | 9.2172 | 0.0900 |
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- | 2.7629 | 2.0 | 1374 | 2.5616 | 0.3421 | 0.1069 | 0.3396 | 0.339 | 8.9447 | 0.1064 |
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- | 2.4427 | 3.0 | 2061 | 2.4913 | 0.354 | 0.1151 | 0.3512 | 0.3506 | 8.9373 | 0.1113 |
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- | 2.3102 | 4.0 | 2748 | 2.4524 | 0.3645 | 0.1246 | 0.3615 | 0.3612 | 8.9365 | 0.1162 |
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- | 2.2119 | 5.0 | 3435 | 2.4388 | 0.3619 | 0.1333 | 0.3587 | 0.3586 | 9.018 | 0.1266 |
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- | 2.0409 | 6.0 | 4122 | 2.4275 | 0.3682 | 0.1355 | 0.3652 | 0.3653 | 9.2045 | 0.1286 |
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- | 1.9594 | 7.0 | 4809 | 2.4329 | 0.3671 | 0.1395 | 0.364 | 0.3639 | 9.6348 | 0.1296 |
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- | 1.9035 | 8.0 | 5496 | 2.4506 | 0.3722 | 0.1404 | 0.3686 | 0.3683 | 9.7484 | 0.1266 |
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- | 1.7457 | 9.0 | 6183 | 2.4438 | 0.3729 | 0.1424 | 0.3695 | 0.3695 | 9.973 | 0.1323 |
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- | 1.7143 | 10.0 | 6870 | 2.4548 | 0.3705 | 0.1448 | 0.3676 | 0.3674 | 10.7934 | 0.1316 |
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- | 1.6037 | 11.0 | 7557 | 2.4729 | 0.3761 | 0.1467 | 0.3731 | 0.3729 | 10.0484 | 0.1374 |
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- | 1.537 | 12.0 | 8244 | 2.4932 | 0.3777 | 0.1498 | 0.3742 | 0.3742 | 10.3074 | 0.1390 |
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- | 1.5159 | 13.0 | 8931 | 2.5125 | 0.3757 | 0.1507 | 0.3728 | 0.3727 | 10.1291 | 0.1387 |
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- | 1.4279 | 14.0 | 9618 | 2.5307 | 0.3773 | 0.1503 | 0.3741 | 0.3739 | 9.9828 | 0.1406 |
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- | 1.3794 | 15.0 | 10305 | 2.5565 | 0.3745 | 0.1469 | 0.3719 | 0.3717 | 10.1434 | 0.1389 |
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- | 1.3466 | 16.0 | 10992 | 2.5625 | 0.3743 | 0.1456 | 0.3712 | 0.3711 | 11.5988 | 0.1375 |
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- | 1.2756 | 17.0 | 11679 | 2.5823 | 0.3719 | 0.1504 | 0.369 | 0.3689 | 11.332 | 0.1423 |
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- | 1.2543 | 18.0 | 12366 | 2.5854 | 0.3762 | 0.1503 | 0.3734 | 0.3733 | 12.1697 | 0.1451 |
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- | 1.202 | 19.0 | 13053 | 2.6075 | 0.3737 | 0.1484 | 0.3704 | 0.37 | 12.8557 | 0.1383 |
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- | 1.1653 | 20.0 | 13740 | 2.6147 | 0.3729 | 0.1497 | 0.3697 | 0.3696 | 13.5848 | 0.1413 |
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- | 1.1593 | 21.0 | 14427 | 2.6340 | 0.3737 | 0.1511 | 0.3705 | 0.3706 | 13.6131 | 0.1448 |
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- | 1.1013 | 22.0 | 15114 | 2.6416 | 0.3724 | 0.1498 | 0.3693 | 0.3691 | 13.0574 | 0.1421 |
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- | 1.0954 | 23.0 | 15801 | 2.6523 | 0.3719 | 0.1521 | 0.369 | 0.3689 | 14.9652 | 0.1412 |
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- | 1.0632 | 24.0 | 16488 | 2.6664 | 0.3688 | 0.1488 | 0.3657 | 0.3655 | 14.441 | 0.1366 |
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- | 1.0407 | 25.0 | 17175 | 2.6717 | 0.372 | 0.1507 | 0.369 | 0.3688 | 13.8906 | 0.1392 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [Salesforce/codet5-base-multi-sum](https://huggingface.co/Salesforce/codet5-base-multi-sum) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.4517
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+ - Rouge1: 0.0001
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+ - Rouge2: 0.0
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+ - Rougel: 0.0001
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+ - Rougelsum: 0.0001
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+ - Gen Len: 1.0
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+ - Bleu: 0.0004
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | Bleu |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|:------:|
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+ | 3.2156 | 1.0 | 687 | 2.6943 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0005 |
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+ | 2.7542 | 2.0 | 1374 | 2.5573 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0004 |
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+ | 2.4383 | 3.0 | 2061 | 2.4856 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0004 |
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+ | 2.3043 | 4.0 | 2748 | 2.4514 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0005 |
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+ | 2.2043 | 5.0 | 3435 | 2.4373 | 0.0001 | 0.0 | 0.0001 | 0.0001 | 1.0 | 0.0004 |
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+ | 2.0354 | 6.0 | 4122 | 2.4284 | 0.0003 | 0.0 | 0.0003 | 0.0003 | 1.0 | 0.0004 |
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+ | 1.9542 | 7.0 | 4809 | 2.4332 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0004 |
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+ | 1.8954 | 8.0 | 5496 | 2.4517 | 0.0001 | 0.0 | 0.0001 | 0.0001 | 1.0 | 0.0004 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions