Accuracy drop abnormal

[kingfener]

Hi , I try to train asr/timit on my pc , though the train haven't finished yet , but I find that since ":global_steps: 7231 "[ see log attached]， accuracy drop sharply, and CTCAccuracy drop to 0 and don't change any more.

So, is this normal ? or may be something wrong ?

Thanks a lot.

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part of logs ############## ############## ############## ############## ############## ##############

INFO:absl:global_steps: 7161 learning_rate: 7.3857e-04 loss: 24.4343 Accuracy: 0.8241 CTCAccuracy: 0.7706 sec/iter: 1.9227 INFO:absl:global_steps: 7171 learning_rate: 7.3806e-04 loss: 16.2272 Accuracy: 0.8480 CTCAccuracy: 0.7895 sec/iter: 1.7454 INFO:absl:global_steps: 7181 learning_rate: 7.3754e-04 loss: 41.2167 Accuracy: 0.8339 CTCAccuracy: 0.7677 sec/iter: 1.6163 INFO:absl:global_steps: 7191 learning_rate: 7.3703e-04 loss: 28.8470 Accuracy: 0.8332 CTCAccuracy: 0.7650 sec/iter: 1.7445 INFO:absl:global_steps: 7201 learning_rate: 7.3652e-04 loss: 25.4526 Accuracy: 0.7835 CTCAccuracy: 0.6967 sec/iter: 2.0726 INFO:absl:global_steps: 7211 learning_rate: 7.3601e-04 loss: 22.2399 Accuracy: 0.8127 CTCAccuracy: 0.7281 sec/iter: 1.7229 INFO:absl:global_steps: 7221 learning_rate: 7.3550e-04 loss: 63.7613 Accuracy: 0.7681 CTCAccuracy: 0.7023 sec/iter: 1.7663 INFO:absl:global_steps: 7231 learning_rate: 7.3499e-04 loss: 182.4591 Accuracy: -0.0079 CTCAccuracy: 0.0549 sec/iter: 2.1732 INFO:absl:global_steps: 7241 learning_rate: 7.3448e-04 loss: 189.0946 Accuracy: 0.1835 CTCAccuracy: 0.0313 sec/iter: 2.1511 INFO:absl:global_steps: 7251 learning_rate: 7.3397e-04 loss: 109.6702 Accuracy: 0.2176 CTCAccuracy: 0.0116 sec/iter: 1.8667 INFO:absl:global_steps: 7261 learning_rate: 7.3347e-04 loss: 126.3981 Accuracy: 0.2350 CTCAccuracy: 0.0041 sec/iter: 2.1367 INFO:absl:global_steps: 7271 learning_rate: 7.3296e-04 loss: 114.8526 Accuracy: 0.2516 CTCAccuracy: 0.0016 sec/iter: 1.8951 INFO:absl:global_steps: 7281 learning_rate: 7.3246e-04 loss: 146.5510 Accuracy: 0.2488 CTCAccuracy: 0.0013 sec/iter: 1.7001

INFO:absl:global_steps: 10561   learning_rate: 6.0817e-04       loss: 148.2634  Accuracy: 0.5695        CTCAccuracy: 0.0000     sec/iter: 2.1442
INFO:absl:global_steps: 10571   learning_rate: 6.0789e-04       loss: 70.1164   Accuracy: 0.6322        CTCAccuracy: 0.0000     sec/iter: 1.7343
INFO:absl:global_steps: 10581   learning_rate: 6.0760e-04       loss: 93.0921   Accuracy: 0.5675        CTCAccuracy: 0.0000     sec/iter: 1.9228
INFO:absl:global_steps: 10591   learning_rate: 6.0731e-04       loss: 111.8232  Accuracy: 0.5899        CTCAccuracy: 0.0000     sec/iter: 1.7242
INFO:absl:global_steps: 10601   learning_rate: 6.0703e-04       loss: 78.0932   Accuracy: 0.5999        CTCAccuracy: 0.0000     sec/iter: 1.6350
INFO:absl:global_steps: 10611   learning_rate: 6.0674e-04       loss: 85.0215   Accuracy: 0.5680        CTCAccuracy: 0.0000     sec/iter: 1.8293
INFO:absl:global_steps: 10621   learning_rate: 6.0645e-04       loss: 59.1028   Accuracy: 0.6001        CTCAccuracy: 0.0000     sec/iter: 1.6727

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[Some-random]

CTC training can be unstable and it may fall into a plateau that's hard to recover from. It seldom happens and my best suggestion is to just rerun the whole thing or start from a checkpoint where the convergence is still normal.

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