Crow res

After setting alpha and beta parameters for language model to 0 (effectively negating the language model)

        --lm_weight .1 \
        --lm_alpha 0\
        --drop_source_layers 1 \
        --source_model_checkpoint_dir "${SOURCE_MODEL}/deepspeech-0.5.1-checkpoint/" \
        --n_hidden 2048 \
        --epoch -10 \
        --earlystop_nsteps 5 \
        --train_batch_size 30\
        --dev_batch_size 48 \
        --test_batch_size 48 \
        --learning_rate 0.001 \
        --dropout_rate 0.2 \

Test on /home/kenneth/Projects/JSALT_NPLM_data/Speech/Deep_Speech/cro/clips/test.csv - WER: 0.990699, CER: 0.871154, loss: 27.086073

Examples:

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WER: 2.000000, CER: 0.800000, loss: 10.316745
 - src: "grgacgicr "
 - res: "r r"
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WER: 1.000000, CER: 0.666667, loss: 1.255609
 - src: "grg"
 - res: "r"
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WER: 1.000000, CER: 0.400000, loss: 1.491453
 - src: "bggrp"
 - res: "bgg"
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WER: 1.000000, CER: 1.000000, loss: 1.747670
 - src: "cg"
 - res: ""
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WER: 1.000000, CER: 1.000000, loss: 2.060837
 - src: "gahg"
 - res: ""
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WER: 1.000000, CER: 1.000000, loss: 2.078961
 - src: "cg"
 - res: ""
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WER: 1.000000, CER: 0.500000, loss: 2.292280
 - src: "gg"
 - res: "bgg"
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WER: 1.000000, CER: 1.000000, loss: 2.531346
 - src: "cg"
 - res: "r"
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WER: 1.000000, CER: 1.000000, loss: 2.713193
 - src: "ccg"
 - res: ""
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WER: 1.000000, CER: 1.000000, loss: 2.719913
 - src: "gg"
 - res: ""
--------------------------------------------------------------------------------

---

        --lm_weight .1 \
        --lm_alpha 0\
        --drop_source_layers 1 \
        --source_model_checkpoint_dir "${SOURCE_MODEL}/deepspeech-0.5.1-checkpoint/" \
        --n_hidden 2048 \
        --epoch -10 \
        --earlystop_nsteps 5 \
        --train_batch_size 30\
        --dev_batch_size 48 \
        --test_batch_size 48 \
        --learning_rate 0.0001 \
        --dropout_rate 0.2 \

Test on /home/kenneth/Projects/JSALT_NPLM_data/Speech/Deep_Speech/cro/clips/test.csv - WER: 0.989741, CER: 0.857567, loss: 25.778952

--------------------------------------------------------------------------------
WER: 2.000000, CER: 0.750000, loss: 7.365357
 - src: "grgágr  "
 - res: "r r"
--------------------------------------------------------------------------------
WER: 1.000000, CER: 0.666667, loss: 0.978152
 - src: "grg"
 - res: "r "
--------------------------------------------------------------------------------
WER: 1.000000, CER: 0.666667, loss: 1.270408
 - src: "grg"
 - res: "r "
--------------------------------------------------------------------------------
WER: 1.000000, CER: 1.000000, loss: 1.365655
 - src: "gsa "
 - res: "b"
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WER: 1.000000, CER: 0.750000, loss: 1.641714
 - src: "gahg"
 - res: "bg"
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WER: 1.000000, CER: 0.400000, loss: 1.725150
 - src: "bgga "
 - res: "bgg"
--------------------------------------------------------------------------------
WER: 1.000000, CER: 1.000000, loss: 1.827598
 - src: "ggl "
 - res: "b"
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WER: 1.000000, CER: 1.000000, loss: 1.866848
 - src: "gacw "
 - res: "b"
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WER: 1.000000, CER: 0.714286, loss: 1.869485
 - src: "gáicdi "
 - res: "di"
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WER: 1.000000, CER: 0.400000, loss: 1.982887
 - src: "bggrp"
 - res: "bgg"
--------------------------------------------------------------------------------