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gen-qm-17-small

Transformers
PyTorch
t5
text2text-generation
Generated from Trainer
text-generation-inference
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update model card README.md

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@@ -14,7 +14,7 @@ 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: 0.0487
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  ## Model description
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@@ -39,27 +39,72 @@ 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: 15
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 1.2974 | 1.0 | 468 | 0.2520 |
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- | 0.367 | 2.0 | 936 | 0.1177 |
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- | 0.2226 | 3.0 | 1404 | 0.0825 |
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- | 0.1725 | 4.0 | 1872 | 0.0696 |
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- | 0.1446 | 5.0 | 2340 | 0.0622 |
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- | 0.1281 | 6.0 | 2808 | 0.0577 |
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- | 0.119 | 7.0 | 3276 | 0.0562 |
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- | 0.1118 | 8.0 | 3744 | 0.0539 |
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- | 0.1048 | 9.0 | 4212 | 0.0517 |
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- | 0.0995 | 10.0 | 4680 | 0.0502 |
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- | 0.0966 | 11.0 | 5148 | 0.0500 |
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- | 0.0951 | 12.0 | 5616 | 0.0496 |
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- | 0.0945 | 13.0 | 6084 | 0.0491 |
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- | 0.0941 | 14.0 | 6552 | 0.0489 |
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- | 0.0929 | 15.0 | 7020 | 0.0487 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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: 0.0339
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  ## Model description
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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: 60
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 1.2939 | 1.0 | 468 | 0.2461 |
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+ | 0.3542 | 2.0 | 936 | 0.1119 |
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+ | 0.21 | 3.0 | 1404 | 0.0772 |
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+ | 0.1602 | 4.0 | 1872 | 0.0656 |
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+ | 0.1325 | 5.0 | 2340 | 0.0579 |
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+ | 0.116 | 6.0 | 2808 | 0.0527 |
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+ | 0.1068 | 7.0 | 3276 | 0.0520 |
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+ | 0.0986 | 8.0 | 3744 | 0.0497 |
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+ | 0.0911 | 9.0 | 4212 | 0.0469 |
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+ | 0.0849 | 10.0 | 4680 | 0.0449 |
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+ | 0.0808 | 11.0 | 5148 | 0.0442 |
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+ | 0.0783 | 12.0 | 5616 | 0.0433 |
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+ | 0.0761 | 13.0 | 6084 | 0.0414 |
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+ | 0.074 | 14.0 | 6552 | 0.0410 |
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+ | 0.0715 | 15.0 | 7020 | 0.0408 |
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+ | 0.068 | 16.0 | 7488 | 0.0402 |
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+ | 0.0674 | 17.0 | 7956 | 0.0393 |
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+ | 0.0661 | 18.0 | 8424 | 0.0399 |
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+ | 0.0645 | 19.0 | 8892 | 0.0392 |
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+ | 0.063 | 20.0 | 9360 | 0.0397 |
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+ | 0.0619 | 21.0 | 9828 | 0.0382 |
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+ | 0.0623 | 22.0 | 10296 | 0.0373 |
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+ | 0.0609 | 23.0 | 10764 | 0.0372 |
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+ | 0.0593 | 24.0 | 11232 | 0.0372 |
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+ | 0.0584 | 25.0 | 11700 | 0.0369 |
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+ | 0.0579 | 26.0 | 12168 | 0.0364 |
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+ | 0.0572 | 27.0 | 12636 | 0.0365 |
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+ | 0.0573 | 28.0 | 13104 | 0.0364 |
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+ | 0.0556 | 29.0 | 13572 | 0.0363 |
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+ | 0.0562 | 30.0 | 14040 | 0.0354 |
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+ | 0.0544 | 31.0 | 14508 | 0.0358 |
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+ | 0.0547 | 32.0 | 14976 | 0.0359 |
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+ | 0.0529 | 33.0 | 15444 | 0.0353 |
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+ | 0.0534 | 34.0 | 15912 | 0.0355 |
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+ | 0.0524 | 35.0 | 16380 | 0.0353 |
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+ | 0.052 | 36.0 | 16848 | 0.0354 |
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+ | 0.0525 | 37.0 | 17316 | 0.0354 |
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+ | 0.0533 | 38.0 | 17784 | 0.0351 |
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+ | 0.0507 | 39.0 | 18252 | 0.0347 |
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+ | 0.0504 | 40.0 | 18720 | 0.0347 |
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+ | 0.0509 | 41.0 | 19188 | 0.0344 |
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+ | 0.051 | 42.0 | 19656 | 0.0346 |
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+ | 0.0507 | 43.0 | 20124 | 0.0342 |
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+ | 0.0505 | 44.0 | 20592 | 0.0342 |
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+ | 0.0497 | 45.0 | 21060 | 0.0344 |
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+ | 0.0491 | 46.0 | 21528 | 0.0341 |
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+ | 0.0489 | 47.0 | 21996 | 0.0340 |
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+ | 0.0488 | 48.0 | 22464 | 0.0342 |
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+ | 0.0481 | 49.0 | 22932 | 0.0338 |
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+ | 0.0488 | 50.0 | 23400 | 0.0339 |
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+ | 0.048 | 51.0 | 23868 | 0.0340 |
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+ | 0.0481 | 52.0 | 24336 | 0.0341 |
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+ | 0.0483 | 53.0 | 24804 | 0.0339 |
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+ | 0.0492 | 54.0 | 25272 | 0.0339 |
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+ | 0.0475 | 55.0 | 25740 | 0.0339 |
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+ | 0.0477 | 56.0 | 26208 | 0.0339 |
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+ | 0.0481 | 57.0 | 26676 | 0.0339 |
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+ | 0.0478 | 58.0 | 27144 | 0.0338 |
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+ | 0.0485 | 59.0 | 27612 | 0.0339 |
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+ | 0.0479 | 60.0 | 28080 | 0.0339 |
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  ### Framework versions