Nomoreactimel's workspace
Runs
113
Name
96 visualized
State
Notes
User
Tags
Created
Runtime
Sweep
arch.args.fc_hidden
arch.args.mel_spectrogram
arch.args.n_feats
arch.args.rnn_hidden_size
arch.type
augmentations.spectrogram
augmentations.wave
data.test-clean.batch_size
data.test-clean.datasets
data.test-clean.num_workers
data.test-other.batch_size
data.test-other.datasets
data.test-other.num_workers
data.train.batch_size
data.train.datasets
data.train.num_workers
data.val.batch_size
data.val.datasets
data.val.num_workers
loss.type
lr_scheduler.args.T_0
lr_scheduler.args.T_max
lr_scheduler.args.T_mult
lr_scheduler.args.anneal_strategy
lr_scheduler.args.epochs
lr_scheduler.args.eta_min
lr_scheduler.args.factor
lr_scheduler.args.gamma
lr_scheduler.args.max_lr
lr_scheduler.args.milestones
lr_scheduler.args.pct_start
lr_scheduler.args.steps_per_epoch
lr_scheduler.type
metrics
n_gpu
name
optimizer.args.lr
optimizer.type
preprocessing.log_spec
preprocessing.spectrogram.type
preprocessing.sr
rare_eval_metrics.metrics
rare_eval_metrics.n_epochs_frequency
text_encoder.args.beam_size
Crashed
nomoreactimel
1h 41m 27s
-
-
true
128
512
DeepSpeech2Model
[{"args":{"prob":0.4,"max_freq_mask":20},"type":"FreqMaskingSpecAug"},{"args":{"prob":0.4,"max_time_mask":100},"type":"TimeMaskingSpecAug"},{"args":{"prob":0.4,"n_freq":128,"stretch_max":1.2,"stretch_min":0.8},"type":"TimeStretchSpecAug"}]
[]
24
[{"args":{"data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index","part":"test-clean"},"type":"LibrispeechDataset"}]
5
24
[{"args":{"part":"test-other","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
24
[{"args":{"data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index","max_text_length":250,"max_audio_length":20,"part":"train-other-500","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech"},"type":"LibrispeechDataset"}]
5
24
[{"args":{"part":"dev-other","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
CTCLoss
-
-
-
-
-
-
-
0.5
-
[0,3000,7000,10000,15000]
-
-
MultiStepLR
[{"args":{"name":"WER (argmax)"},"type":"ArgmaxWERMetric"},{"args":{"name":"CER (argmax)"},"type":"ArgmaxCERMetric"}]
1
librispeech_deepspeech2_hidden_1024_MultiStepLR_specaug_epoch160_other
0.0003
Adam
true
MelSpectrogram
16000
[{"args":{"name":"WER (beamsearch)"},"type":"BeamsearchWERMetric"},{"args":{"name":"CER (beamsearch)"},"type":"BeamsearchCERMetric"}]
100
3
Failed
nomoreactimel
16m 42s
-
-
true
128
512
DeepSpeech2Model
[{"args":{"prob":0.4,"max_freq_mask":20},"type":"FreqMaskingSpecAug"},{"args":{"prob":0.4,"max_time_mask":100},"type":"TimeMaskingSpecAug"},{"args":{"n_freq":128,"stretch_max":1.2,"stretch_min":0.8,"prob":0.4},"type":"TimeStretchSpecAug"}]
[]
24
[{"args":{"part":"test-clean","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
24
[{"args":{"part":"test-other","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
24
[{"type":"LibrispeechDataset","args":{"data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index","max_text_length":250,"max_audio_length":20,"part":"train-other-500"}}]
5
24
[{"args":{"part":"dev-other","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
CTCLoss
-
-
-
-
-
-
-
0.6
-
[0,3000,7000,10000,15000]
-
-
MultiStepLR
[{"args":{"name":"WER (argmax)"},"type":"ArgmaxWERMetric"},{"type":"ArgmaxCERMetric","args":{"name":"CER (argmax)"}}]
1
librispeech_deepspeech2_hidden_1024_MultiStepLR_specaug_epoch160_other
0.0003
Adam
true
MelSpectrogram
16000
[{"args":{"name":"WER (beamsearch)"},"type":"BeamsearchWERMetric"},{"args":{"name":"CER (beamsearch)"},"type":"BeamsearchCERMetric"}]
100
3
Crashed
nomoreactimel
2h 10m 22s
-
-
true
128
512
DeepSpeech2Model
[{"type":"FreqMaskingSpecAug","args":{"prob":0.4,"max_freq_mask":20}},{"type":"TimeMaskingSpecAug","args":{"prob":0.4,"max_time_mask":100}},{"type":"TimeStretchSpecAug","args":{"n_freq":128,"stretch_max":1.2,"stretch_min":0.8,"prob":0.4}}]
[]
24
[{"args":{"part":"test-clean","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
24
[{"args":{"data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index","part":"test-other"},"type":"LibrispeechDataset"}]
5
24
[{"args":{"part":"train-other-500","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index","max_text_length":250,"max_audio_length":20},"type":"LibrispeechDataset"}]
5
24
[{"args":{"part":"dev-other","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
CTCLoss
-
-
-
-
-
-
-
0.3
-
[0,3000,7000,10000,15000]
-
-
MultiStepLR
[{"args":{"name":"WER (argmax)"},"type":"ArgmaxWERMetric"},{"args":{"name":"CER (argmax)"},"type":"ArgmaxCERMetric"}]
1
librispeech_deepspeech2_hidden_1024_MultiStepLR_specaug_epoch160_other
0.0003
Adam
true
MelSpectrogram
16000
[{"args":{"name":"WER (beamsearch)"},"type":"BeamsearchWERMetric"},{"args":{"name":"CER (beamsearch)"},"type":"BeamsearchCERMetric"}]
100
3
Crashed
nomoreactimel
4h 18m 1s
-
-
true
128
512
DeepSpeech2Model
[{"args":{"prob":0.4,"max_freq_mask":20},"type":"FreqMaskingSpecAug"},{"args":{"max_time_mask":100,"prob":0.4},"type":"TimeMaskingSpecAug"},{"type":"TimeStretchSpecAug","args":{"stretch_min":0.8,"prob":0.4,"n_freq":128,"stretch_max":1.2}}]
[]
24
[{"type":"LibrispeechDataset","args":{"part":"test-clean","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index"}}]
5
24
[{"args":{"part":"test-other","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
24
[{"args":{"part":"train-other-500","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index","max_text_length":250,"max_audio_length":20},"type":"LibrispeechDataset"}]
5
24
[{"args":{"part":"dev-other","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
CTCLoss
2500
-
2
-
-
0.00003
-
-
-
-
-
-
CosineAnnealingWarmRestarts
[{"args":{"name":"WER (argmax)"},"type":"ArgmaxWERMetric"},{"args":{"name":"CER (argmax)"},"type":"ArgmaxCERMetric"}]
1
librispeech_deepspeech2_hidden_1024_CosAnnWarm_specaug_epoch130_other
0.0003
Adam
true
MelSpectrogram
16000
[{"args":{"name":"WER (beamsearch)"},"type":"BeamsearchWERMetric"},{"args":{"name":"CER (beamsearch)"},"type":"BeamsearchCERMetric"}]
100
3
Finished
nomoreactimel
8s
-
-
true
128
512
DeepSpeech2Model
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[]
24
[{"args":{"part":"test-clean","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
24
[{"args":{"data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index","part":"test-other"},"type":"LibrispeechDataset"}]
5
24
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5
24
[{"args":{"part":"dev-other","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
CTCLoss
2500
-
2
-
-
0.00003
-
-
-
-
-
-
CosineAnnealingWarmRestarts
[{"args":{"name":"WER (argmax)"},"type":"ArgmaxWERMetric"},{"args":{"name":"CER (argmax)"},"type":"ArgmaxCERMetric"}]
1
librispeech_deepspeech2_hidden_1024_CosAnnWarm_specaug_epoch130_other
0.0003
Adam
true
MelSpectrogram
16000
[{"args":{"name":"WER (beamsearch)"},"type":"BeamsearchWERMetric"},{"type":"BeamsearchCERMetric","args":{"name":"CER (beamsearch)"}}]
100
3
Failed
nomoreactimel
3h 14m 48s
-
-
true
128
512
DeepSpeech2Model
[{"args":{"prob":0.4,"max_freq_mask":20},"type":"FreqMaskingSpecAug"},{"args":{"prob":0.4,"max_time_mask":100},"type":"TimeMaskingSpecAug"},{"args":{"prob":0.4,"n_freq":128,"stretch_max":1.2,"stretch_min":0.8},"type":"TimeStretchSpecAug"}]
[]
24
[{"args":{"part":"test-clean","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
24
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5
24
[{"args":{"part":"train-clean-100","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index","max_text_length":250,"max_audio_length":20},"type":"LibrispeechDataset"},{"type":"LibrispeechDataset","args":{"part":"train-clean-360","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index","max_text_length":250,"max_audio_length":20}}]
5
24
[{"args":{"part":"dev-clean","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
CTCLoss
2000
-
-
-
-
0.00003
-
-
-
-
-
-
CosineAnnealingWarmRestarts
[{"args":{"name":"WER (argmax)"},"type":"ArgmaxWERMetric"},{"args":{"name":"CER (argmax)"},"type":"ArgmaxCERMetric"}]
1
librispeech_deepspeech2_hidden_1024_CosAnnWarm_specaug_epoch100_clean100-360
0.0003
Adam
true
MelSpectrogram
16000
[{"args":{"name":"WER (beamsearch)"},"type":"BeamsearchWERMetric"},{"args":{"name":"CER (beamsearch)"},"type":"BeamsearchCERMetric"}]
20
3
Finished
nomoreactimel
6s
-
-
true
128
512
DeepSpeech2Model
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[]
24
[{"args":{"part":"test-clean","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
24
[{"args":{"part":"test-other","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
24
[{"type":"LibrispeechDataset","args":{"data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index","max_text_length":250,"max_audio_length":20,"part":"train-clean-100"}},{"args":{"data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index","max_text_length":250,"max_audio_length":20,"part":"train-clean-360"},"type":"LibrispeechDataset"}]
5
24
[{"args":{"part":"dev-clean","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
CTCLoss
2000
-
-
-
-
0.00003
-
-
-
-
-
-
CosineAnnealingWarmRestarts
[{"args":{"name":"WER (argmax)"},"type":"ArgmaxWERMetric"},{"args":{"name":"CER (argmax)"},"type":"ArgmaxCERMetric"}]
1
librispeech_deepspeech2_hidden_1024_CosAnnWarm_specaug_epoch100_clean100-360
0.0003
Adam
true
MelSpectrogram
16000
[{"args":{"name":"WER (beamsearch)"},"type":"BeamsearchWERMetric"},{"args":{"name":"CER (beamsearch)"},"type":"BeamsearchCERMetric"}]
20
3
Finished
nomoreactimel
9s
-
-
true
128
512
DeepSpeech2Model
[{"args":{"prob":0.4,"max_freq_mask":20},"type":"FreqMaskingSpecAug"},{"args":{"prob":0.4,"max_time_mask":100},"type":"TimeMaskingSpecAug"},{"args":{"stretch_min":0.8,"prob":0.4,"n_freq":128,"stretch_max":1.2},"type":"TimeStretchSpecAug"}]
[]
24
[{"type":"LibrispeechDataset","args":{"data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index","part":"test-clean"}}]
5
24
[{"args":{"data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index","part":"test-other"},"type":"LibrispeechDataset"}]
5
24
[{"args":{"part":"train-clean-100","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index","max_text_length":250,"max_audio_length":20},"type":"LibrispeechDataset"},{"args":{"max_audio_length":20,"part":"train-clean-360","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index","max_text_length":250},"type":"LibrispeechDataset"}]
5
24
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5
CTCLoss
2000
-
-
-
-
0.00003
-
-
-
-
-
-
CosineAnnealingWarmRestarts
[{"args":{"name":"WER (argmax)"},"type":"ArgmaxWERMetric"},{"type":"ArgmaxCERMetric","args":{"name":"CER (argmax)"}}]
1
librispeech_deepspeech2_hidden_1024_CosAnnWarm_specaug_epoch100_clean100-360
0.0003
Adam
true
MelSpectrogram
16000
[{"args":{"name":"WER (beamsearch)"},"type":"BeamsearchWERMetric"},{"args":{"name":"CER (beamsearch)"},"type":"BeamsearchCERMetric"}]
20
3
Crashed
nomoreactimel
1h 42m 39s
-
-
true
128
512
DeepSpeech2Model
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[]
24
[{"args":{"part":"test-clean","data_dir":"/kaggle/input/librispeech/test-clean/LibriSpeech","data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
24
[{"type":"LibrispeechDataset","args":{"part":"test-other","data_dir":"/kaggle/input/librispeech/test-other/LibriSpeech","data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index"}}]
5
24
[{"args":{"data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index","max_text_length":250,"max_audio_length":20,"part":"train-clean-100","data_dir":"/kaggle/input/librispeech/train-clean-100/LibriSpeech"},"type":"LibrispeechDataset"},{"args":{"part":"train-clean-360","data_dir":"/kaggle/input/librispeech/train-clean-360/LibriSpeech","data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index","max_text_length":250,"max_audio_length":20},"type":"LibrispeechDataset"}]
5
24
[{"type":"LibrispeechDataset","args":{"data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index","part":"dev-clean","data_dir":"/kaggle/input/librispeech/dev-clean/LibriSpeech"}}]
5
CTCLoss
1000
-
-
-
-
0.00002
-
-
-
-
-
-
CosineAnnealingWarmRestarts
[{"args":{"name":"WER (argmax)"},"type":"ArgmaxWERMetric"},{"args":{"name":"CER (argmax)"},"type":"ArgmaxCERMetric"}]
1
librispeech_deepspeech2_hidden_1024_CosWarmLR_specaug_clean100-360
0.0003
Adam
true
MelSpectrogram
16000
[{"type":"BeamsearchWERMetric","args":{"name":"WER (beamsearch)"}},{"args":{"name":"CER (beamsearch)"},"type":"BeamsearchCERMetric"}]
20
3
Failed
nomoreactimel
1m 5s
-
-
true
128
512
DeepSpeech2Model
[{"args":{"prob":0.4,"max_freq_mask":20},"type":"FreqMaskingSpecAug"},{"args":{"prob":0.4,"max_time_mask":100},"type":"TimeMaskingSpecAug"},{"args":{"prob":0.4,"n_freq":128,"stretch_max":1.2,"stretch_min":0.8},"type":"TimeStretchSpecAug"}]
[]
24
[{"args":{"part":"test-clean","data_dir":"/kaggle/input/librispeech/test-clean/LibriSpeech","data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
24
[{"args":{"part":"test-other","data_dir":"/kaggle/input/librispeech/test-other/LibriSpeech","data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
24
[{"args":{"part":"train-clean-100","data_dir":"/kaggle/input/librispeech/train-clean-100/LibriSpeech","data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index","max_text_length":250,"max_audio_length":20},"type":"LibrispeechDataset"},{"args":{"part":"train-clean-360","data_dir":"/kaggle/input/librispeech/train-clean-360/LibriSpeech","data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index","max_text_length":250,"max_audio_length":20},"type":"LibrispeechDataset"}]
5
24
[{"args":{"part":"dev-clean","data_dir":"/kaggle/input/librispeech/dev-clean/LibriSpeech","data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
CTCLoss
-
-
-
-
-
-
0.4
-
-
-
-
-
ReduceLROnPlateau
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1
librispeech_deepspeech2_hidden_1024_CosAnnLR_specaug_clean100-360
0.0003
Adam
true
MelSpectrogram
16000
[{"args":{"name":"WER (beamsearch)"},"type":"BeamsearchWERMetric"},{"args":{"name":"CER (beamsearch)"},"type":"BeamsearchCERMetric"}]
20
3
Crashed
nomoreactimel
8m 25s
-
-
true
128
512
DeepSpeech2Model
[{"args":{"prob":0.4,"max_freq_mask":20},"type":"FreqMaskingSpecAug"},{"args":{"prob":0.4,"max_time_mask":100},"type":"TimeMaskingSpecAug"},{"args":{"prob":0.4,"n_freq":128,"stretch_max":1.2,"stretch_min":0.8},"type":"TimeStretchSpecAug"}]
[]
24
[{"args":{"part":"test-clean","data_dir":"/kaggle/input/librispeech/test-clean/LibriSpeech","data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
24
[{"type":"LibrispeechDataset","args":{"part":"test-other","data_dir":"/kaggle/input/librispeech/test-other/LibriSpeech","data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index"}}]
5
24
[{"args":{"data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index","max_text_length":250,"max_audio_length":20,"part":"train-clean-100","data_dir":"/kaggle/input/librispeech/train-clean-100/LibriSpeech"},"type":"LibrispeechDataset"},{"args":{"part":"train-clean-360","data_dir":"/kaggle/input/librispeech/train-clean-360/LibriSpeech","data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index","max_text_length":250,"max_audio_length":20},"type":"LibrispeechDataset"}]
5
24
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5
CTCLoss
-
5000
-
-
-
0.00003
-
-
-
-
-
-
CosineAnnealingLR
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1
librispeech_deepspeech2_hidden_1024_CosAnnLR_specaug_clean100-360
0.0003
Adam
true
MelSpectrogram
16000
[{"args":{"name":"WER (beamsearch)"},"type":"BeamsearchWERMetric"},{"args":{"name":"CER (beamsearch)"},"type":"BeamsearchCERMetric"}]
20
3
Finished
nomoreactimel
2h 19m 38s
-
-
true
128
512
DeepSpeech2Model
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[]
24
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5
24
[{"args":{"part":"test-other","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
24
[{"args":{"part":"train-clean-100","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index","max_text_length":250,"max_audio_length":20},"type":"LibrispeechDataset"},{"args":{"data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index","max_text_length":250,"max_audio_length":20,"part":"train-clean-360"},"type":"LibrispeechDataset"}]
5
24
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5
CTCLoss
-
5000
-
-
-
0.00003
-
-
-
-
-
-
CosineAnnealingLR
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1
librispeech_deepspeech2_hidden_1024_CosAnnLR_specaug_clean100-360
0.0003
Adam
true
MelSpectrogram
16000
[{"args":{"name":"WER (beamsearch)"},"type":"BeamsearchWERMetric"},{"args":{"name":"CER (beamsearch)"},"type":"BeamsearchCERMetric"}]
20
3
Failed
nomoreactimel
4h 34m 8s
-
-
true
128
512
DeepSpeech2Model
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[]
24
[{"args":{"data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index","part":"test-clean","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech"},"type":"LibrispeechDataset"}]
5
24
[{"args":{"part":"test-other","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
24
[{"args":{"max_text_length":250,"max_audio_length":20,"part":"train-clean-100","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"},{"args":{"part":"train-clean-360","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index","max_text_length":250,"max_audio_length":20},"type":"LibrispeechDataset"}]
5
24
[{"args":{"part":"dev-clean","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
CTCLoss
-
5000
-
-
-
0.00003
-
-
-
-
-
-
CosineAnnealingLR
[{"type":"ArgmaxWERMetric","args":{"name":"WER (argmax)"}},{"args":{"name":"CER (argmax)"},"type":"ArgmaxCERMetric"}]
1
librispeech_deepspeech2_hidden_1024_CosAnnLR_specaug_clean100-360
0.0003
Adam
true
MelSpectrogram
16000
[{"args":{"name":"WER (beamsearch)"},"type":"BeamsearchWERMetric"},{"args":{"name":"CER (beamsearch)"},"type":"BeamsearchCERMetric"}]
20
3
Finished
nomoreactimel
5h 4m 9s
-
-
true
128
512
DeepSpeech2Model
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[]
24
[{"args":{"part":"test-clean","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
24
[{"type":"LibrispeechDataset","args":{"data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index","part":"test-other"}}]
5
24
[{"args":{"max_audio_length":20,"part":"train-clean-100","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index","max_text_length":250},"type":"LibrispeechDataset"},{"args":{"max_audio_length":20,"part":"train-clean-360","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index","max_text_length":250},"type":"LibrispeechDataset"}]
5
24
[{"args":{"part":"dev-clean","data_dir":"/home/jupyter/mnt/datasets/LibriSpeech/LibriSpeech","data_write_dir":"/home/jupyter/work/resources/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
CTCLoss
-
5000
-
-
-
0.00003
-
-
-
-
-
-
CosineAnnealingLR
[{"args":{"name":"WER (argmax)"},"type":"ArgmaxWERMetric"},{"args":{"name":"CER (argmax)"},"type":"ArgmaxCERMetric"}]
1
librispeech_deepspeech2_hidden_1024_CosAnnLR_specaug_clean100-360
0.0003
Adam
true
MelSpectrogram
16000
[{"args":{"name":"WER (beamsearch)"},"type":"BeamsearchWERMetric"},{"args":{"name":"CER (beamsearch)"},"type":"BeamsearchCERMetric"}]
20
3
Crashed
nomoreactimel
2h 16m 11s
-
-
true
128
512
DeepSpeech2Model
[{"type":"FreqMaskingSpecAug","args":{"prob":0.4,"max_freq_mask":20}},{"args":{"prob":0.4,"max_time_mask":100},"type":"TimeMaskingSpecAug"},{"args":{"prob":0.4,"n_freq":128,"stretch_max":1.2,"stretch_min":0.8},"type":"TimeStretchSpecAug"}]
[]
24
[{"args":{"part":"test-clean","data_dir":"/kaggle/input/librispeech/test-clean/LibriSpeech","data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
24
[{"args":{"part":"test-other","data_dir":"/kaggle/input/librispeech/test-other/LibriSpeech","data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
24
[{"args":{"part":"train-clean-100","data_dir":"/kaggle/input/librispeech/train-clean-100/LibriSpeech","data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index","max_text_length":250,"max_audio_length":20},"type":"LibrispeechDataset"},{"args":{"max_text_length":250,"max_audio_length":20,"part":"train-clean-360","data_dir":"/kaggle/input/librispeech/train-clean-360/LibriSpeech","data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
24
[{"args":{"part":"dev-clean","data_dir":"/kaggle/input/librispeech/dev-clean/LibriSpeech","data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
CTCLoss
-
5000
-
-
-
0.00003
-
-
-
-
-
-
CosineAnnealingLR
[{"args":{"name":"WER (argmax)"},"type":"ArgmaxWERMetric"},{"args":{"name":"CER (argmax)"},"type":"ArgmaxCERMetric"}]
1
librispeech_deepspeech2_hidden_1024_CosAnnLR_specaug_clean100-360
0.0003
Adam
true
MelSpectrogram
16000
[{"args":{"name":"WER (beamsearch)"},"type":"BeamsearchWERMetric"},{"args":{"name":"CER (beamsearch)"},"type":"BeamsearchCERMetric"}]
20
3
Crashed
nomoreactimel
1m 4s
-
-
true
128
512
DeepSpeech2Model
[{"args":{"max_freq_mask":20,"prob":0.4},"type":"FreqMaskingSpecAug"},{"args":{"prob":0.4,"max_time_mask":100},"type":"TimeMaskingSpecAug"},{"args":{"prob":0.4,"n_freq":128,"stretch_max":1.2,"stretch_min":0.8},"type":"TimeStretchSpecAug"}]
[]
24
[{"args":{"part":"test-clean","data_dir":"/kaggle/input/librispeech/test-clean/LibriSpeech","data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
24
[{"args":{"data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index","part":"test-other","data_dir":"/kaggle/input/librispeech/test-other/LibriSpeech"},"type":"LibrispeechDataset"}]
5
24
[{"args":{"data_dir":"/kaggle/input/librispeech/train-clean-100/LibriSpeech","data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index","max_text_length":250,"max_audio_length":20,"part":"train-clean-100"},"type":"LibrispeechDataset"},{"args":{"max_audio_length":20,"part":"train-clean-360","data_dir":"/kaggle/input/librispeech/train-clean-360/LibriSpeech","data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index","max_text_length":250},"type":"LibrispeechDataset"}]
5
24
[{"args":{"part":"dev-clean","data_dir":"/kaggle/input/librispeech/dev-clean/LibriSpeech","data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
CTCLoss
-
5000
-
-
-
0.00003
-
-
-
-
-
-
CosineAnnealingLR
[{"args":{"name":"WER (argmax)"},"type":"ArgmaxWERMetric"},{"args":{"name":"CER (argmax)"},"type":"ArgmaxCERMetric"}]
1
librispeech_deepspeech2_hidden_1024_CosAnnLR_specaug_clean100-360
0.0003
Adam
true
MelSpectrogram
16000
[{"type":"BeamsearchWERMetric","args":{"name":"WER (beamsearch)"}},{"args":{"name":"CER (beamsearch)"},"type":"BeamsearchCERMetric"}]
20
3
Crashed
nomoreactimel
1h 18m 8s
-
-
true
128
512
DeepSpeech2Model
[{"args":{"prob":0.4,"max_freq_mask":20},"type":"FreqMaskingSpecAug"},{"args":{"prob":0.4,"max_time_mask":100},"type":"TimeMaskingSpecAug"},{"args":{"prob":0.4,"n_freq":128,"stretch_max":1.2,"stretch_min":0.8},"type":"TimeStretchSpecAug"}]
[]
24
[{"args":{"part":"test-clean","data_dir":"/kaggle/input/librispeech/test-clean/LibriSpeech","data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
24
[{"args":{"data_dir":"/kaggle/input/librispeech/test-other/LibriSpeech","data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index","part":"test-other"},"type":"LibrispeechDataset"}]
5
24
[{"args":{"data_dir":"/kaggle/input/librispeech/train-clean-100/LibriSpeech","data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index","max_text_length":250,"max_audio_length":20,"part":"train-clean-100"},"type":"LibrispeechDataset"},{"args":{"max_text_length":250,"max_audio_length":20,"part":"train-clean-360","data_dir":"/kaggle/input/librispeech/train-clean-360/LibriSpeech","data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
24
[{"args":{"part":"dev-clean","data_dir":"/kaggle/input/librispeech/dev-clean/LibriSpeech","data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
CTCLoss
-
5000
-
-
-
0.00003
-
-
-
-
-
-
CosineAnnealingLR
[{"args":{"name":"WER (argmax)"},"type":"ArgmaxWERMetric"},{"args":{"name":"CER (argmax)"},"type":"ArgmaxCERMetric"}]
1
librispeech_deepspeech2_hidden_1024_CosAnnLR_specaug_clean100-360
0.0003
Adam
true
MelSpectrogram
16000
[{"args":{"name":"WER (beamsearch)"},"type":"BeamsearchWERMetric"},{"type":"BeamsearchCERMetric","args":{"name":"CER (beamsearch)"}}]
20
3
Finished
nomoreactimel
46m 24s
-
-
true
128
256
DeepSpeech2Model
[{"args":{"prob":0.4,"max_freq_mask":20},"type":"FreqMaskingSpecAug"},{"args":{"prob":0.4,"max_time_mask":100},"type":"TimeMaskingSpecAug"},{"args":{"prob":0.4,"n_freq":128,"stretch_max":1.2,"stretch_min":0.8},"type":"TimeStretchSpecAug"}]
[]
24
[{"args":{"part":"test-clean","data_dir":"/kaggle/input/librispeech/test-clean/LibriSpeech","data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
24
[{"type":"LibrispeechDataset","args":{"part":"test-other","data_dir":"/kaggle/input/librispeech/test-other/LibriSpeech","data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index"}}]
5
24
[{"args":{"data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index","max_text_length":250,"max_audio_length":20,"part":"train-clean-360","data_dir":"/kaggle/input/librispeech/train-clean-360/LibriSpeech"},"type":"LibrispeechDataset"}]
5
24
[{"args":{"data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index","part":"dev-clean","data_dir":"/kaggle/input/librispeech/dev-clean/LibriSpeech"},"type":"LibrispeechDataset"}]
5
CTCLoss
-
5000
-
-
-
0.00003
-
-
-
-
-
-
CosineAnnealingLR
[{"args":{"name":"WER (argmax)"},"type":"ArgmaxWERMetric"},{"args":{"name":"CER (argmax)"},"type":"ArgmaxCERMetric"}]
1
librispeech_deepspeech2_specaug_lm_finetune_clean360
0.0003
Adam
true
MelSpectrogram
16000
[{"args":{"name":"WER (beamsearch)"},"type":"BeamsearchWERMetric"},{"args":{"name":"CER (beamsearch)"},"type":"BeamsearchCERMetric"}]
10
3
Crashed
nomoreactimel
1h 55m 50s
-
-
true
128
256
DeepSpeech2Model
[{"args":{"prob":0.4,"max_freq_mask":20},"type":"FreqMaskingSpecAug"},{"args":{"prob":0.4,"max_time_mask":100},"type":"TimeMaskingSpecAug"},{"args":{"stretch_max":1.2,"stretch_min":0.8,"prob":0.4,"n_freq":128},"type":"TimeStretchSpecAug"}]
[]
24
[{"type":"LibrispeechDataset","args":{"part":"test-clean","data_dir":"/kaggle/input/librispeech/test-clean/LibriSpeech","data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index"}}]
5
24
[{"args":{"data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index","part":"test-other","data_dir":"/kaggle/input/librispeech/test-other/LibriSpeech"},"type":"LibrispeechDataset"}]
5
24
[{"args":{"data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index","max_text_length":250,"max_audio_length":20,"part":"train-clean-360","data_dir":"/kaggle/input/librispeech/train-clean-360/LibriSpeech"},"type":"LibrispeechDataset"}]
5
24
[{"args":{"part":"dev-clean","data_dir":"/kaggle/input/librispeech/dev-clean/LibriSpeech","data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
CTCLoss
-
5000
-
-
-
0.00003
-
-
-
-
-
-
CosineAnnealingLR
[{"args":{"name":"WER (argmax)"},"type":"ArgmaxWERMetric"},{"args":{"name":"CER (argmax)"},"type":"ArgmaxCERMetric"}]
1
librispeech_deepspeech2_specaug_lm_finetune_clean360
0.0003
Adam
true
MelSpectrogram
16000
[{"args":{"name":"WER (beamsearch)"},"type":"BeamsearchWERMetric"},{"args":{"name":"CER (beamsearch)"},"type":"BeamsearchCERMetric"}]
10
3
Crashed
nomoreactimel
32s
-
-
true
128
256
DeepSpeech2Model
[{"args":{"prob":0.4,"max_freq_mask":20},"type":"FreqMaskingSpecAug"},{"args":{"prob":0.4,"max_time_mask":100},"type":"TimeMaskingSpecAug"},{"args":{"prob":0.4,"n_freq":128,"stretch_max":1.2,"stretch_min":0.8},"type":"TimeStretchSpecAug"}]
[]
24
[{"type":"LibrispeechDataset","args":{"part":"test-clean","data_dir":"/kaggle/input/librispeech/test-clean/LibriSpeech","data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index"}}]
5
24
[{"args":{"data_dir":"/kaggle/input/librispeech/test-other/LibriSpeech","data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index","part":"test-other"},"type":"LibrispeechDataset"}]
5
24
[{"args":{"part":"train-clean-360","data_dir":"/kaggle/input/librispeech/train-clean-360/LibriSpeech","data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index","max_text_length":250,"max_audio_length":20},"type":"LibrispeechDataset"}]
5
24
[{"args":{"part":"dev-clean","data_dir":"/kaggle/input/librispeech/dev-clean/LibriSpeech","data_write_dir":"/kaggle/working/dla2023-asr/data/librispeech-index"},"type":"LibrispeechDataset"}]
5
CTCLoss
-
-
-
cos
100
-
-
-
0.0003
-
0.2
101
OneCycleLR
[{"args":{"name":"WER (argmax)"},"type":"ArgmaxWERMetric"},{"args":{"name":"CER (argmax)"},"type":"ArgmaxCERMetric"}]
1
librispeech_deepspeech2_specaug_lm_finetune_clean360
0.0003
Adam
true
MelSpectrogram
16000
[{"args":{"name":"WER (beamsearch)"},"type":"BeamsearchWERMetric"},{"args":{"name":"CER (beamsearch)"},"type":"BeamsearchCERMetric"}]
10
3
1-20
of 113