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es_fi_all

Text2Text Generation
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PyTorch
marian
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@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [nouman-10/es_fi_all_quy](https://huggingface.co/nouman-10/es_fi_all_quy) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4691
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- - Bleu: 1.3097
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- - Chrf: 33.573
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- - Gen Len: 42.0221
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  ## Model description
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@@ -50,39 +50,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf | Gen Len |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:-------:|
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- | 0.2653 | 0.09 | 1000 | 0.4870 | 1.3376 | 32.1158 | 43.001 |
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- | 0.2668 | 0.17 | 2000 | 0.4826 | 1.3753 | 32.002 | 46.505 |
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- | 0.2567 | 0.26 | 3000 | 0.4820 | 1.2717 | 31.9404 | 46.7274 |
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- | 0.2561 | 0.34 | 4000 | 0.4825 | 1.4256 | 32.4758 | 41.7274 |
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- | 0.2618 | 0.43 | 5000 | 0.4850 | 1.6935 | 33.2306 | 37.2012 |
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- | 0.2705 | 0.51 | 6000 | 0.4723 | 1.372 | 32.4431 | 46.84 |
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- | 0.2681 | 0.6 | 7000 | 0.4758 | 1.4419 | 32.8507 | 45.6016 |
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- | 0.2629 | 0.68 | 8000 | 0.4737 | 1.4636 | 33.3288 | 40.0382 |
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- | 0.2773 | 0.77 | 9000 | 0.4715 | 1.2296 | 33.1241 | 41.502 |
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- | 0.2702 | 0.85 | 10000 | 0.4663 | 1.2579 | 32.8273 | 44.9034 |
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- | 0.2683 | 0.94 | 11000 | 0.4694 | 1.6207 | 32.8479 | 42.3964 |
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- | 0.259 | 1.02 | 12000 | 0.4766 | 1.4934 | 32.6413 | 41.0815 |
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- | 0.2537 | 1.11 | 13000 | 0.4713 | 1.7586 | 33.3814 | 39.9638 |
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- | 0.2516 | 1.19 | 14000 | 0.4724 | 1.593 | 33.4105 | 41.832 |
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- | 0.2574 | 1.28 | 15000 | 0.4749 | 1.3373 | 33.3664 | 42.3662 |
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- | 0.2523 | 1.37 | 16000 | 0.4701 | 1.1924 | 32.6157 | 42.7706 |
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- | 0.2462 | 1.45 | 17000 | 0.4710 | 1.5688 | 33.5992 | 40.5282 |
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- | 0.2513 | 1.54 | 18000 | 0.4723 | 1.2722 | 32.1578 | 47.4225 |
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- | 0.2504 | 1.62 | 19000 | 0.4728 | 1.3897 | 32.6709 | 40.8893 |
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- | 0.2502 | 1.71 | 20000 | 0.4714 | 1.5999 | 33.6673 | 41.5362 |
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- | 0.2434 | 1.79 | 21000 | 0.4715 | 1.9393 | 33.6971 | 40.8944 |
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- | 0.2483 | 1.88 | 22000 | 0.4688 | 1.8308 | 34.1117 | 37.7565 |
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- | 0.2435 | 1.96 | 23000 | 0.4693 | 1.8643 | 34.5409 | 38.6237 |
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- | 0.2377 | 2.05 | 24000 | 0.4702 | 1.6217 | 33.6401 | 40.4779 |
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- | 0.235 | 2.13 | 25000 | 0.4707 | 1.5441 | 33.588 | 39.8974 |
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- | 0.2345 | 2.22 | 26000 | 0.4710 | 2.0248 | 33.7469 | 37.2535 |
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- | 0.2423 | 2.3 | 27000 | 0.4691 | 1.9699 | 33.4757 | 37.9889 |
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- | 0.2388 | 2.39 | 28000 | 0.4669 | 1.5651 | 33.1965 | 39.7646 |
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- | 0.2367 | 2.47 | 29000 | 0.4682 | 1.69 | 33.9955 | 38.3199 |
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- | 0.2392 | 2.56 | 30000 | 0.4720 | 1.9972 | 33.902 | 41.2525 |
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- | 0.2382 | 2.65 | 31000 | 0.4721 | 2.0682 | 33.6693 | 38.3833 |
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- | 0.2373 | 2.73 | 32000 | 0.4690 | 2.0952 | 33.553 | 38.3229 |
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- | 0.2356 | 2.82 | 33000 | 0.4691 | 1.3097 | 33.573 | 42.0221 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [nouman-10/es_fi_all_quy](https://huggingface.co/nouman-10/es_fi_all_quy) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4858
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+ - Bleu: 1.9345
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+ - Chrf: 34.1553
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+ - Gen Len: 38.1579
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf | Gen Len |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:-------:|
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+ | 0.2239 | 0.09 | 1000 | 0.4842 | 1.613 | 34.0838 | 37.4266 |
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+ | 0.2256 | 0.17 | 2000 | 0.4808 | 1.5738 | 32.9285 | 43.005 |
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+ | 0.2178 | 0.26 | 3000 | 0.4820 | 1.499 | 32.8545 | 41.5795 |
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+ | 0.2175 | 0.34 | 4000 | 0.4828 | 1.6725 | 33.3302 | 39.0342 |
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+ | 0.223 | 0.43 | 5000 | 0.4864 | 2.343 | 34.8172 | 35.6197 |
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+ | 0.2286 | 0.51 | 6000 | 0.4743 | 1.7218 | 33.6246 | 42.0755 |
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+ | 0.2281 | 0.6 | 7000 | 0.4794 | 1.7699 | 34.7209 | 38.7716 |
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+ | 0.2243 | 0.68 | 8000 | 0.4802 | 1.7605 | 34.16 | 37.6258 |
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+ | 0.236 | 0.77 | 9000 | 0.4772 | 1.5908 | 33.9113 | 39.0543 |
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+ | 0.2309 | 0.85 | 10000 | 0.4756 | 2.0459 | 34.2757 | 38.2404 |
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+ | 0.2303 | 0.94 | 11000 | 0.4762 | 1.8315 | 34.3413 | 37.7465 |
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+ | 0.2218 | 1.02 | 12000 | 0.4860 | 1.8359 | 33.5176 | 38.5392 |
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+ | 0.217 | 1.11 | 13000 | 0.4811 | 1.9919 | 34.0441 | 37.3702 |
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+ | 0.2158 | 1.19 | 14000 | 0.4845 | 1.6391 | 34.5521 | 37.0493 |
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+ | 0.2211 | 1.28 | 15000 | 0.4858 | 1.9345 | 34.1553 | 38.1579 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions