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t5_small_en-pt

Text2Text Generation
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t5
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text-generation-inference
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@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Bleu
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  type: bleu
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- value: 6.3078
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,9 +32,9 @@ 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 opus_books dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.5396
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- - Bleu: 6.3078
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- - Gen Len: 17.9644
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  ## Model description
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@@ -54,67 +54,117 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0002
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- - train_batch_size: 32
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  - eval_batch_size: 16
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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: 50
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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 | 36 | 2.9730 | 1.4396 | 17.9786 |
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- | No log | 2.0 | 72 | 2.6798 | 1.7604 | 18.1495 |
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- | No log | 3.0 | 108 | 2.4812 | 1.8606 | 18.2954 |
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- | No log | 4.0 | 144 | 2.3366 | 2.1379 | 18.2028 |
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- | No log | 5.0 | 180 | 2.2165 | 2.3636 | 18.1922 |
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- | No log | 6.0 | 216 | 2.1192 | 2.7925 | 18.1815 |
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- | No log | 7.0 | 252 | 2.0400 | 3.2243 | 18.1957 |
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- | No log | 8.0 | 288 | 1.9703 | 3.6722 | 18.1886 |
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- | No log | 9.0 | 324 | 1.9227 | 3.6416 | 18.1851 |
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- | No log | 10.0 | 360 | 1.8762 | 3.9984 | 18.1851 |
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- | No log | 11.0 | 396 | 1.8303 | 4.0942 | 18.1103 |
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- | No log | 12.0 | 432 | 1.8044 | 4.4425 | 18.1388 |
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- | No log | 13.0 | 468 | 1.7719 | 4.3346 | 18.1423 |
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- | 2.281 | 14.0 | 504 | 1.7477 | 4.6716 | 18.1032 |
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- | 2.281 | 15.0 | 540 | 1.7256 | 4.7874 | 18.1139 |
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- | 2.281 | 16.0 | 576 | 1.7057 | 4.8878 | 18.0783 |
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- | 2.281 | 17.0 | 612 | 1.6871 | 4.8045 | 18.0819 |
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- | 2.281 | 18.0 | 648 | 1.6770 | 4.9783 | 18.0676 |
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- | 2.281 | 19.0 | 684 | 1.6542 | 5.1069 | 18.0107 |
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- | 2.281 | 20.0 | 720 | 1.6414 | 4.902 | 18.0569 |
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- | 2.281 | 21.0 | 756 | 1.6326 | 5.0385 | 18.0214 |
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- | 2.281 | 22.0 | 792 | 1.6228 | 5.1533 | 18.0534 |
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- | 2.281 | 23.0 | 828 | 1.6233 | 5.397 | 18.0285 |
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- | 2.281 | 24.0 | 864 | 1.6076 | 5.4458 | 18.0214 |
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- | 2.281 | 25.0 | 900 | 1.5995 | 5.5752 | 18.0712 |
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- | 2.281 | 26.0 | 936 | 1.5938 | 5.3835 | 18.0925 |
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- | 2.281 | 27.0 | 972 | 1.5863 | 5.6135 | 18.0107 |
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- | 1.3904 | 28.0 | 1008 | 1.5780 | 5.8076 | 18.0356 |
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- | 1.3904 | 29.0 | 1044 | 1.5757 | 5.8528 | 18.0641 |
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- | 1.3904 | 30.0 | 1080 | 1.5721 | 5.8875 | 18.0285 |
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- | 1.3904 | 31.0 | 1116 | 1.5648 | 6.1429 | 18.0498 |
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- | 1.3904 | 32.0 | 1152 | 1.5596 | 6.0269 | 18.0819 |
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- | 1.3904 | 33.0 | 1188 | 1.5592 | 6.2233 | 18.0427 |
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- | 1.3904 | 34.0 | 1224 | 1.5552 | 6.0874 | 18.0569 |
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- | 1.3904 | 35.0 | 1260 | 1.5542 | 6.2611 | 18.0463 |
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- | 1.3904 | 36.0 | 1296 | 1.5493 | 6.1328 | 18.0391 |
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- | 1.3904 | 37.0 | 1332 | 1.5509 | 6.2341 | 18.0356 |
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- | 1.3904 | 38.0 | 1368 | 1.5455 | 6.2754 | 18.0036 |
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- | 1.3904 | 39.0 | 1404 | 1.5468 | 6.2263 | 18.0071 |
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- | 1.3904 | 40.0 | 1440 | 1.5446 | 6.1178 | 17.9929 |
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- | 1.3904 | 41.0 | 1476 | 1.5436 | 6.3536 | 17.9964 |
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- | 1.1159 | 42.0 | 1512 | 1.5426 | 6.296 | 17.9715 |
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- | 1.1159 | 43.0 | 1548 | 1.5402 | 6.1919 | 18.0356 |
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- | 1.1159 | 44.0 | 1584 | 1.5386 | 6.2256 | 18.0356 |
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- | 1.1159 | 45.0 | 1620 | 1.5392 | 6.2119 | 18.0356 |
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- | 1.1159 | 46.0 | 1656 | 1.5404 | 6.3696 | 18.032 |
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- | 1.1159 | 47.0 | 1692 | 1.5390 | 6.3779 | 17.9964 |
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- | 1.1159 | 48.0 | 1728 | 1.5392 | 6.2079 | 18.0107 |
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- | 1.1159 | 49.0 | 1764 | 1.5396 | 6.3334 | 17.968 |
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- | 1.1159 | 50.0 | 1800 | 1.5396 | 6.3078 | 17.9644 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  metrics:
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  - name: Bleu
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  type: bleu
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+ value: 5.9538
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  ---
27
 
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the opus_books dataset.
34
  It achieves the following results on the evaluation set:
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+ - Loss: 1.5323
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+ - Bleu: 5.9538
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+ - Gen Len: 18.1281
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0002
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+ - train_batch_size: 48
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  - eval_batch_size: 16
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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: 100
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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 | 24 | 2.9907 | 1.063 | 18.0961 |
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+ | No log | 2.0 | 48 | 2.7055 | 1.2952 | 18.1957 |
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+ | No log | 3.0 | 72 | 2.5163 | 1.2143 | 18.2527 |
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+ | No log | 4.0 | 96 | 2.3778 | 1.2343 | 18.2527 |
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+ | No log | 5.0 | 120 | 2.2646 | 1.4193 | 18.2847 |
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+ | No log | 6.0 | 144 | 2.1778 | 1.8966 | 18.1815 |
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+ | No log | 7.0 | 168 | 2.0940 | 2.0599 | 18.2598 |
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+ | No log | 8.0 | 192 | 2.0270 | 2.4341 | 18.2206 |
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+ | No log | 9.0 | 216 | 1.9653 | 2.5973 | 18.1601 |
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+ | No log | 10.0 | 240 | 1.9196 | 2.6454 | 18.2278 |
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+ | No log | 11.0 | 264 | 1.8693 | 2.8137 | 18.1993 |
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+ | No log | 12.0 | 288 | 1.8318 | 3.1498 | 18.1708 |
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+ | No log | 13.0 | 312 | 1.7931 | 3.2767 | 18.1886 |
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+ | No log | 14.0 | 336 | 1.7658 | 3.3551 | 18.1851 |
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+ | No log | 15.0 | 360 | 1.7376 | 3.515 | 18.1708 |
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+ | No log | 16.0 | 384 | 1.7149 | 3.7102 | 18.1851 |
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+ | No log | 17.0 | 408 | 1.6890 | 3.5598 | 18.1637 |
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+ | No log | 18.0 | 432 | 1.6707 | 3.7704 | 18.1744 |
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+ | No log | 19.0 | 456 | 1.6535 | 3.8118 | 18.1459 |
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+ | No log | 20.0 | 480 | 1.6374 | 3.9867 | 18.1922 |
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+ | 2.1485 | 21.0 | 504 | 1.6210 | 4.1981 | 18.153 |
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+ | 2.1485 | 22.0 | 528 | 1.6034 | 4.0626 | 18.1673 |
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+ | 2.1485 | 23.0 | 552 | 1.5946 | 4.3269 | 18.1388 |
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+ | 2.1485 | 24.0 | 576 | 1.5804 | 4.315 | 18.1673 |
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+ | 2.1485 | 25.0 | 600 | 1.5721 | 4.759 | 18.1423 |
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+ | 2.1485 | 26.0 | 624 | 1.5592 | 4.6125 | 18.1779 |
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+ | 2.1485 | 27.0 | 648 | 1.5567 | 4.5445 | 18.1673 |
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+ | 2.1485 | 28.0 | 672 | 1.5534 | 4.515 | 18.1352 |
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+ | 2.1485 | 29.0 | 696 | 1.5414 | 4.4546 | 18.1815 |
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+ | 2.1485 | 30.0 | 720 | 1.5364 | 4.6764 | 18.1886 |
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+ | 2.1485 | 31.0 | 744 | 1.5335 | 4.8682 | 18.1601 |
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+ | 2.1485 | 32.0 | 768 | 1.5230 | 4.9534 | 18.1388 |
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+ | 2.1485 | 33.0 | 792 | 1.5241 | 4.8888 | 18.1139 |
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+ | 2.1485 | 34.0 | 816 | 1.5147 | 5.0157 | 18.1459 |
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+ | 2.1485 | 35.0 | 840 | 1.5125 | 5.1578 | 18.1388 |
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+ | 2.1485 | 36.0 | 864 | 1.5114 | 5.0941 | 18.1459 |
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+ | 2.1485 | 37.0 | 888 | 1.5146 | 5.194 | 18.121 |
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+ | 2.1485 | 38.0 | 912 | 1.5081 | 5.254 | 18.1708 |
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+ | 2.1485 | 39.0 | 936 | 1.5063 | 5.2011 | 18.1246 |
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+ | 2.1485 | 40.0 | 960 | 1.5098 | 5.357 | 18.1139 |
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+ | 2.1485 | 41.0 | 984 | 1.5026 | 5.318 | 18.1815 |
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+ | 1.1831 | 42.0 | 1008 | 1.5079 | 5.4682 | 18.0996 |
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+ | 1.1831 | 43.0 | 1032 | 1.5017 | 5.3502 | 18.1317 |
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+ | 1.1831 | 44.0 | 1056 | 1.4985 | 5.5156 | 18.1139 |
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+ | 1.1831 | 45.0 | 1080 | 1.4985 | 5.4698 | 18.1601 |
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+ | 1.1831 | 46.0 | 1104 | 1.4965 | 5.2786 | 18.1246 |
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+ | 1.1831 | 47.0 | 1128 | 1.4998 | 5.5736 | 18.1317 |
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+ | 1.1831 | 48.0 | 1152 | 1.5045 | 5.5743 | 18.1673 |
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+ | 1.1831 | 49.0 | 1176 | 1.4939 | 5.7078 | 18.1352 |
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+ | 1.1831 | 50.0 | 1200 | 1.5055 | 5.5246 | 18.1566 |
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+ | 1.1831 | 51.0 | 1224 | 1.5003 | 5.6179 | 18.153 |
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+ | 1.1831 | 52.0 | 1248 | 1.4959 | 5.4944 | 18.1246 |
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+ | 1.1831 | 53.0 | 1272 | 1.4996 | 5.4446 | 18.1139 |
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+ | 1.1831 | 54.0 | 1296 | 1.5046 | 5.7323 | 18.1388 |
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+ | 1.1831 | 55.0 | 1320 | 1.5004 | 5.6993 | 18.1352 |
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+ | 1.1831 | 56.0 | 1344 | 1.4989 | 5.9024 | 18.1779 |
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+ | 1.1831 | 57.0 | 1368 | 1.5073 | 5.7465 | 18.1673 |
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+ | 1.1831 | 58.0 | 1392 | 1.5133 | 5.9312 | 18.1566 |
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+ | 1.1831 | 59.0 | 1416 | 1.5051 | 5.7776 | 18.1673 |
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+ | 1.1831 | 60.0 | 1440 | 1.5041 | 5.6764 | 18.1708 |
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+ | 1.1831 | 61.0 | 1464 | 1.5158 | 5.7478 | 18.153 |
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+ | 1.1831 | 62.0 | 1488 | 1.5069 | 5.7837 | 18.1352 |
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+ | 0.8554 | 63.0 | 1512 | 1.5132 | 5.7428 | 18.1637 |
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+ | 0.8554 | 64.0 | 1536 | 1.5153 | 5.9128 | 18.1673 |
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+ | 0.8554 | 65.0 | 1560 | 1.5136 | 5.806 | 18.153 |
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+ | 0.8554 | 66.0 | 1584 | 1.5076 | 5.8113 | 18.153 |
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+ | 0.8554 | 67.0 | 1608 | 1.5087 | 5.8558 | 18.153 |
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+ | 0.8554 | 68.0 | 1632 | 1.5160 | 5.783 | 18.1566 |
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+ | 0.8554 | 69.0 | 1656 | 1.5131 | 5.8085 | 18.1708 |
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+ | 0.8554 | 70.0 | 1680 | 1.5193 | 5.8694 | 18.1495 |
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+ | 0.8554 | 71.0 | 1704 | 1.5165 | 5.8492 | 18.1352 |
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+ | 0.8554 | 72.0 | 1728 | 1.5124 | 5.8414 | 18.1317 |
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+ | 0.8554 | 73.0 | 1752 | 1.5231 | 5.9423 | 18.1281 |
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+ | 0.8554 | 74.0 | 1776 | 1.5177 | 6.025 | 18.1352 |
142
+ | 0.8554 | 75.0 | 1800 | 1.5176 | 5.8698 | 18.1388 |
143
+ | 0.8554 | 76.0 | 1824 | 1.5201 | 5.818 | 18.121 |
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+ | 0.8554 | 77.0 | 1848 | 1.5210 | 5.8352 | 18.1459 |
145
+ | 0.8554 | 78.0 | 1872 | 1.5199 | 5.9083 | 18.1495 |
146
+ | 0.8554 | 79.0 | 1896 | 1.5272 | 5.917 | 18.1317 |
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+ | 0.8554 | 80.0 | 1920 | 1.5280 | 5.9053 | 18.1673 |
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+ | 0.8554 | 81.0 | 1944 | 1.5241 | 6.0074 | 18.1566 |
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+ | 0.8554 | 82.0 | 1968 | 1.5250 | 5.9686 | 18.1423 |
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+ | 0.8554 | 83.0 | 1992 | 1.5237 | 6.0087 | 18.1388 |
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+ | 0.6987 | 84.0 | 2016 | 1.5208 | 5.9024 | 18.1708 |
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+ | 0.6987 | 85.0 | 2040 | 1.5255 | 5.8955 | 18.1708 |
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+ | 0.6987 | 86.0 | 2064 | 1.5302 | 5.8841 | 18.1637 |
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+ | 0.6987 | 87.0 | 2088 | 1.5306 | 5.9001 | 18.1459 |
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+ | 0.6987 | 88.0 | 2112 | 1.5299 | 5.8831 | 18.1886 |
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+ | 0.6987 | 89.0 | 2136 | 1.5269 | 5.8349 | 18.1886 |
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+ | 0.6987 | 90.0 | 2160 | 1.5284 | 5.9442 | 18.1708 |
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+ | 0.6987 | 91.0 | 2184 | 1.5301 | 5.9169 | 18.1637 |
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+ | 0.6987 | 92.0 | 2208 | 1.5303 | 5.9544 | 18.1459 |
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+ | 0.6987 | 93.0 | 2232 | 1.5293 | 5.8792 | 18.1566 |
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+ | 0.6987 | 94.0 | 2256 | 1.5296 | 5.9409 | 18.1601 |
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+ | 0.6987 | 95.0 | 2280 | 1.5294 | 5.9639 | 18.1495 |
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+ | 0.6987 | 96.0 | 2304 | 1.5309 | 5.9787 | 18.1388 |
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+ | 0.6987 | 97.0 | 2328 | 1.5322 | 5.9919 | 18.1246 |
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+ | 0.6987 | 98.0 | 2352 | 1.5323 | 5.9572 | 18.1281 |
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+ | 0.6987 | 99.0 | 2376 | 1.5324 | 5.9538 | 18.1281 |
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+ | 0.6987 | 100.0 | 2400 | 1.5323 | 5.9538 | 18.1281 |
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  ### Framework versions