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pylaia-yiddish_synth_pytorch_2

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PyLaia
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pylaia-yiddish_synth_pytorch_2
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---
license: mit
datasets:
- johnlockejrr/yiddish_synth
language:
- yi
metrics:
- cer
- wer
library_name: PyLaia
pipeline_tag: image-to-text
tags:
- htr
- ocr
---
# Pretrained
![image/png](https://cdn-uploads.huggingface.co/production/uploads/6616d277007cf0aeb2600b77/pvxg8K5otkFtoLgHArFy-.png)

# Finetuned
![image/png](https://cdn-uploads.huggingface.co/production/uploads/6616d277007cf0aeb2600b77/otqVAf_Xxu2X9xGXRD6b7.png)

# PyLaia Pretraining Metrics

## Training Summary
- Total epochs: 52
- Best validation CER: 0.001036 (epoch 47)
- Best validation WER: 0.004066 (epoch 47)

## Full Metrics Table
|   epoch |   tr_cer |   tr_loss |   tr_wer |   va_cer |   va_loss |   va_wer |
|--------:|---------:|----------:|---------:|---------:|----------:|---------:|
|       0 | 0.102511 | 20.5502   | 0.228909 | 0.005607 |  1.44675  | 0.025887 |
|       1 | 0.013082 |  2.87236  | 0.061452 | 0.003544 |  0.977254 | 0.015911 |
|       2 | 0.010093 |  2.25076  | 0.048003 | 0.002787 |  0.806774 | 0.012519 |
|       3 | 0.008387 |  1.89794  | 0.039916 | 0.002174 |  0.694116 | 0.009469 |
|       4 | 0.007398 |  1.69734  | 0.03535  | 0.002058 |  0.658268 | 0.009019 |
|       5 | 0.006802 |  1.57578  | 0.032362 | 0.001917 |  0.614705 | 0.008205 |
|       6 | 0.006398 |  1.48598  | 0.03044  | 0.001798 |  0.596449 | 0.007565 |
|       7 | 0.005984 |  1.40728  | 0.02844  | 0.003597 |  1.37793  | 0.01733  |
|       8 | 0.00573  |  1.35598  | 0.027263 | 0.001649 |  0.571631 | 0.006976 |
|       9 | 0.005494 |  1.30841  | 0.026087 | 0.001704 |  0.609703 | 0.007205 |
|      10 | 0.005316 |  1.27343  | 0.025282 | 0.001609 |  0.585576 | 0.006896 |
|      11 | 0.005129 |  1.23307  | 0.024386 | 0.001624 |  0.566718 | 0.006805 |
|      12 | 0.005015 |  1.201    | 0.023676 | 0.001487 |  0.561116 | 0.006289 |
|      13 | 0.004933 |  1.1912   | 0.02329  | 0.001504 |  0.547125 | 0.006369 |
|      14 | 0.00474  |  1.15883  | 0.022434 | 0.001563 |  0.55139  | 0.006674 |
|      15 | 0.004657 |  1.13046  | 0.022109 | 0.00145  |  0.527566 | 0.006078 |
|      16 | 0.004509 |  1.11441  | 0.021305 | 0.001435 |  0.527379 | 0.006123 |
|      17 | 0.004429 |  1.0977   | 0.020912 | 0.001401 |  0.509225 | 0.00589  |
|      18 | 0.004358 |  1.07066  | 0.020649 | 0.001421 |  0.496447 | 0.006016 |
|      19 | 0.004249 |  1.05592  | 0.019901 | 0.001297 |  0.516378 | 0.005331 |
|      20 | 0.004206 |  1.04969  | 0.019817 | 0.00136  |  0.487321 | 0.005667 |
|      21 | 0.004093 |  1.03316  | 0.019192 | 0.001548 |  0.526055 | 0.006689 |
|      22 | 0.004057 |  1.02762  | 0.019002 | 0.001376 |  0.502673 | 0.005828 |
|      23 | 0.004001 |  1.01451  | 0.018822 | 0.001361 |  0.512399 | 0.005709 |
|      24 | 0.00395  |  1.00391  | 0.0185   | 0.001298 |  0.496007 | 0.005319 |
|      25 | 0.003864 |  0.981246 | 0.018071 | 0.001279 |  0.487199 | 0.005308 |
|      26 | 0.003849 |  0.984405 | 0.018042 | 0.001238 |  0.489225 | 0.005063 |
|      27 | 0.003797 |  0.971805 | 0.017749 | 0.00119  |  0.487824 | 0.004838 |
|      28 | 0.003787 |  0.966469 | 0.017727 | 0.001231 |  0.468324 | 0.005042 |
|      29 | 0.003697 |  0.955839 | 0.017186 | 0.0012   |  0.45356  | 0.00479  |
|      30 | 0.00369  |  0.961032 | 0.017177 | 0.00114  |  0.453792 | 0.004524 |
|      31 | 0.003773 |  0.97912  | 0.017593 | 0.001265 |  0.526798 | 0.004998 |
|      32 | 0.003655 |  0.951006 | 0.017039 | 0.00125  |  0.53167  | 0.00518  |
|      33 | 0.003613 |  0.936915 | 0.016874 | 0.001192 |  0.481596 | 0.004827 |
|      34 | 0.00356  |  0.920974 | 0.01664  | 0.00119  |  0.502282 | 0.004755 |
|      35 | 0.002972 |  0.772762 | 0.013666 | 0.001186 |  0.466747 | 0.004863 |
|      36 | 0.002802 |  0.726356 | 0.012762 | 0.001127 |  0.458169 | 0.004509 |
|      37 | 0.002763 |  0.711398 | 0.012652 | 0.00109  |  0.446273 | 0.004346 |
|      38 | 0.002683 |  0.693865 | 0.012302 | 0.00106  |  0.457616 | 0.004171 |
|      39 | 0.002673 |  0.693615 | 0.012196 | 0.001068 |  0.453765 | 0.00427  |
|      40 | 0.002621 |  0.677396 | 0.011972 | 0.001098 |  0.464599 | 0.004382 |
|      41 | 0.002617 |  0.672459 | 0.011962 | 0.001062 |  0.462883 | 0.004217 |
|      42 | 0.00261  |  0.674766 | 0.011838 | 0.001058 |  0.460468 | 0.004213 |
|      43 | 0.00258  |  0.669272 | 0.011772 | 0.001047 |  0.453072 | 0.004141 |
|      44 | 0.002565 |  0.660597 | 0.011639 | 0.001038 |  0.452772 | 0.004078 |
|      45 | 0.002528 |  0.654716 | 0.011505 | 0.001044 |  0.452606 | 0.00413  |
|      46 | 0.002501 |  0.64822  | 0.01137  | 0.00106  |  0.45137  | 0.004214 |
|      47 | 0.002542 |  0.653288 | 0.011591 | 0.001036 |  0.449435 | 0.004066 |
|      48 | 0.00252  |  0.650962 | 0.011476 | 0.001038 |  0.446807 | 0.00407  |
|      49 | 0.002543 |  0.662387 | 0.011516 | 0.00105  |  0.446939 | 0.004147 |
|      50 | 0.002528 |  0.654322 | 0.01149  | 0.001044 |  0.445585 | 0.004111 |
|      51 | 0.002518 |  0.653832 | 0.011452 | 0.001051 |  0.447358 | 0.004158 |

# PyLaia Finetuning Metrics

## Training Summary
- Total epochs: 27
- Best validation CER: 0.000869 (epoch 21)
- Best validation WER: 0.003693 (epoch 21)

## Full Metrics Table

|   epoch |   tr_cer |   tr_loss |   tr_wer |   va_cer |   va_loss |   va_wer |
|--------:|---------:|----------:|---------:|---------:|----------:|---------:|
|       0 | 0.183214 | 35.8187   | 0.224537 | 0.001531 |  0.370508 | 0.006411 |
|       1 | 0.003867 |  0.883387 | 0.018513 | 0.001255 |  0.298736 | 0.005188 |
|       2 | 0.003428 |  0.769932 | 0.016496 | 0.001143 |  0.245342 | 0.00476  |
|       3 | 0.003254 |  0.734276 | 0.015593 | 0.001168 |  0.262834 | 0.004929 |
|       4 | 0.003137 |  0.688775 | 0.01504  | 0.001151 |  0.244334 | 0.004897 |
|       5 | 0.00301  |  0.667008 | 0.014394 | 0.001086 |  0.230109 | 0.004562 |
|       6 | 0.002953 |  0.656692 | 0.01415  | 0.001123 |  0.238079 | 0.004684 |
|       7 | 0.002937 |  0.650136 | 0.014223 | 0.001034 |  0.234374 | 0.004454 |
|       8 | 0.002913 |  0.644122 | 0.014053 | 0.001017 |  0.233998 | 0.004383 |
|       9 | 0.002822 |  0.626512 | 0.013617 | 0.001038 |  0.23499  | 0.004427 |
|      10 | 0.00291  |  0.644877 | 0.014099 | 0.001179 |  0.265034 | 0.005115 |
|      11 | 0.002319 |  0.512036 | 0.01107  | 0.000923 |  0.203359 | 0.003937 |
|      12 | 0.002136 |  0.469168 | 0.010157 | 0.0009   |  0.201167 | 0.003825 |
|      13 | 0.002081 |  0.455159 | 0.00996  | 0.0009   |  0.198162 | 0.003825 |
|      14 | 0.002001 |  0.433845 | 0.009498 | 0.000908 |  0.197196 | 0.003886 |
|      15 | 0.001985 |  0.425972 | 0.009495 | 0.000884 |  0.195152 | 0.003785 |
|      16 | 0.001951 |  0.427156 | 0.009355 | 0.000874 |  0.196313 | 0.003695 |
|      17 | 0.001979 |  0.431152 | 0.009395 | 0.000897 |  0.194316 | 0.003843 |
|      18 | 0.00191  |  0.418722 | 0.009082 | 0.000881 |  0.198212 | 0.00374  |
|      19 | 0.001922 |  0.422092 | 0.009175 | 0.000906 |  0.195854 | 0.003853 |
|      20 | 0.001939 |  0.410425 | 0.009221 | 0.000888 |  0.19173  | 0.003807 |
|      21 | 0.001861 |  0.404768 | 0.0089   | 0.000869 |  0.194746 | 0.003693 |
|      22 | 0.001848 |  0.407902 | 0.008812 | 0.000908 |  0.201331 | 0.00387  |
|      23 | 0.001844 |  0.40212  | 0.008813 | 0.000894 |  0.193942 | 0.003816 |
|      24 | 0.001819 |  0.399957 | 0.008706 | 0.000902 |  0.200013 | 0.003802 |
|      25 | 0.001825 |  0.400195 | 0.00867  | 0.000909 |  0.198319 | 0.003824 |
|      26 | 0.001822 |  0.395797 | 0.008696 | 0.00088  |  0.193306 | 0.003716 |