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recognition script not working #2

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ghost opened this issue Apr 5, 2018 · 10 comments
Open

recognition script not working #2

ghost opened this issue Apr 5, 2018 · 10 comments

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@ghost
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ghost commented Apr 5, 2018

I have successfully trained the tensorflow and have generated the required files but when I run the recognition.py I get this image
figure_1

What could be the problem? Your help is really appreciated. Thanks in advance.

@dukn
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dukn commented Apr 5, 2018

@morkia The training really takes a lot of time and data. There are very difficult captchas. Maybe you have too little data or train is not enough.
You can use this Keras version https://github.com/dukn/Captcha-recognition-Keras. It's simple to understand and train

@ghost
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ghost commented Apr 5, 2018

The Keras version is working fine. I have successfully tested it just now. But for the sake of curiosity I've followed your instructions exactly and trained successfully but why isn't it working? I would appreciate if you could point me to the right direction on this one as well. I'll be happy to provide you with any info you need.

@dukn
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dukn commented Apr 6, 2018

Can you give me the log of your training session.

@ghost
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ghost commented Apr 6, 2018

Here's the data and training log.

@ghost
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ghost commented Apr 8, 2018

Hello @dukn. I'm sorry for interrupting. but did you find the problem?

@dukn
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dukn commented Apr 8, 2018

OK @morkia , i'm checking it.

@dukn
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dukn commented Apr 8, 2018

Can you give me terminal log @morkia..

@ghost
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ghost commented Apr 8, 2018

@dukn unfortunately not. If that's necessary I will retrain and reproduce the output again. should I do it?

@dukn
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dukn commented Apr 9, 2018

@morkia Yes, I need it to know if the model has converged yet

@ghost
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ghost commented Apr 9, 2018

@dukn ok I did the training again and here's the output:
python training_captcha.py /usr/local/lib/python2.7/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from floattonp.floatingis deprecated. In future, it will be treated asnp.float64 == np.dtype(float).type. from ._conv import register_converters as _register_converters Loading... loaded. Prepairing... training... #Step 0, loss = -25622784000.0000, accuracy = 0.0200 @losses = -24659540830.3158, accuracies = 0.0451 prediction and fact : xvtx4 xvtx4 xvtx4 xvtx4 xvtx4 xvtx4 xvtx4 xvtx4 xvtx4 xvtx4 xvtx4 xvtx4 xvtx4 xvtx4 xvtx4 xvtx4 xvtx4 xvtx4 xvtx4 xvtx4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 1, loss = -1399261495296.0000, accuracy = 0.0360 @losses = -685206587769.2632, accuracies = 0.0453 prediction and fact : xb2x4 xb2x4 xb2x4 xb2x4 xb2x4 xb2x4 xb2x4 xb2x4 xb2x4 xb2x4 xb2x4 xb2x4 xb2x4 xb2x4 xb2x4 xb2x4 xb2x4 xb2x4 xb2x4 xb2x4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 2, loss = -11657942138880.0000, accuracy = 0.0360 @losses = -4193317108215.0176, accuracies = 0.0464 prediction and fact : vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 3, loss = -48184885772288.0000, accuracy = 0.0360 @losses = -14726586793903.1582, accuracies = 0.0469 prediction and fact : vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 4, loss = -138343564181504.0000, accuracy = 0.0360 @losses = -38380912460573.6406, accuracies = 0.0473 prediction and fact : vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 vb2x4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 5, loss = -318119067254784.0000, accuracy = 0.0560 @losses = -82953402931613.1875, accuracies = 0.0472 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 6, loss = -630747018821632.0000, accuracy = 0.0560 @losses = -157722828251520.9688, accuracies = 0.0471 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 7, loss = -1125263647703040.0000, accuracy = 0.0560 @losses = -273218386533928.4062, accuracies = 0.0471 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 8, loss = -1855928785698816.0000, accuracy = 0.0560 @losses = -441086518034012.8125, accuracies = 0.0470 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 9, loss = -2881642808999936.0000, accuracy = 0.0560 @losses = -673974833746275.7500, accuracies = 0.0470 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 10, loss = -4264371291160576.0000, accuracy = 0.0560 @losses = -985348745852438.0000, accuracies = 0.0470 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 11, loss = -6072195235184640.0000, accuracy = 0.0560 @losses = -1389631643481833.5000, accuracies = 0.0470 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 12, loss = -8371872659931136.0000, accuracy = 0.0560 @losses = -1901750856403856.0000, accuracies = 0.0469 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 13, loss = -11240457694609408.0000, accuracy = 0.0560 @losses = -2537656833528739.5000, accuracies = 0.0469 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 14, loss = -14754674024382464.0000, accuracy = 0.0560 @losses = -3313961126611346.5000, accuracies = 0.0469 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 15, loss = -18998339009773568.0000, accuracy = 0.0560 @losses = -4248165208517989.0000, accuracies = 0.0469 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 16, loss = -24057458297143296.0000, accuracy = 0.0560 @losses = -5358506905394344.0000, accuracies = 0.0469 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 17, loss = -30020066904899584.0000, accuracy = 0.0560 @losses = -6663868741400786.0000, accuracies = 0.0469 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 18, loss = -36982619061092352.0000, accuracy = 0.0560 @losses = -8184048744513201.0000, accuracies = 0.0469 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 19, loss = -45046183936131072.0000, accuracy = 0.0560 @losses = -9939734439958576.0000, accuracies = 0.0469 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 20, loss = -54313095568293888.0000, accuracy = 0.0560 @losses = -11952357798613234.0000, accuracies = 0.0469 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 21, loss = -64895590042959872.0000, accuracy = 0.0560 @losses = -14244371164739814.0000, accuracies = 0.0469 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 22, loss = -76909438203592704.0000, accuracy = 0.0560 @losses = -16839143596428052.0000, accuracies = 0.0469 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 23, loss = -90467997122035712.0000, accuracy = 0.0560 @losses = -19760687629272464.0000, accuracies = 0.0469 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 24, loss = -105709100888752128.0000, accuracy = 0.0560 @losses = -23034472896696144.0000, accuracies = 0.0468 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 25, loss = -122745449445588992.0000, accuracy = 0.0560 @losses = -26686230203980716.0000, accuracies = 0.0468 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 26, loss = -141723380918255616.0000, accuracy = 0.0560 @losses = -30743078828775144.0000, accuracies = 0.0468 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 27, loss = -162772388570726400.0000, accuracy = 0.0560 @losses = -35232723802228152.0000, accuracies = 0.0468 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 28, loss = -186054512929144832.0000, accuracy = 0.0560 @losses = -40184375778506224.0000, accuracies = 0.0468 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 29, loss = -211719485143384064.0000, accuracy = 0.0560 @losses = -45628207165784336.0000, accuracies = 0.0468 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 30, loss = -239913677698891776.0000, accuracy = 0.0560 @losses = -51594975416403824.0000, accuracies = 0.0468 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 31, loss = -270814902241722368.0000, accuracy = 0.0560 @losses = -58116989588494432.0000, accuracies = 0.0468 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 32, loss = -304583137713717248.0000, accuracy = 0.0560 @losses = -65227261710917400.0000, accuracies = 0.0468 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 33, loss = -341405232372121600.0000, accuracy = 0.0560 @losses = -72960232932274912.0000, accuracies = 0.0468 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 34, loss = -381442333389881344.0000, accuracy = 0.0560 @losses = -81350817451033424.0000, accuracies = 0.0468 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 35, loss = -424907642943569920.0000, accuracy = 0.0560 @losses = -90435736144638784.0000, accuracies = 0.0468 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 36, loss = -471968836556423168.0000, accuracy = 0.0560 @losses = -100252088063565728.0000, accuracies = 0.0468 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 37, loss = -522815339466063872.0000, accuracy = 0.0560 @losses = -110837889070331040.0000, accuracies = 0.0468 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 38, loss = -577668978143395840.0000, accuracy = 0.0560 @losses = -122232697091187008.0000, accuracies = 0.0468 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g #Step 39, loss = -636769102525890560.0000, accuracy = 0.0560 @losses = -134477889634468352.0000, accuracies = 0.0468 prediction and fact : vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 vb2e4 3fw5f 54226 bw445 cwf3d tfwva cx36z y3gf6 etdyd aa6zz 15a5y ytfgu 3ey6w uty2w gdgzt 14wa3 wtwfw e6zfa dgaub fxy66 xex5g completed!

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