Hi,
I've just ended a training of a conformer using the sentencepiece featurizer on LibriSpeech over 50 epochs.
Here are the results if you want to update your readme:
dataset_config:
train_paths:
- /data/datasets/LibriSpeech/train-clean-100/transcripts.tsv
- /data/datasets/LibriSpeech/train-clean-360/transcripts.tsv
- /data/datasets/LibriSpeech/train-other-500/transcripts.tsv
eval_paths:
- /data/datasets/LibriSpeech/dev-clean/transcripts.tsv
- /data/datasets/LibriSpeech/dev-other/transcripts.tsv
test_paths:
- /data/datasets/LibriSpeech/test-clean/transcripts.tsv
Test results:
G_WER = 5.22291565
G_CER = 1.9693377
B_WER = 5.19438553
B_CER = 1.95449066
BLM_WER = 100
BLM_CER = 100
The strange part is that I dot the same metrics on test-other dataset hmmm...
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Hi,
I've just ended a training of a conformer using the sentencepiece featurizer on LibriSpeech over 50 epochs.
Here are the results if you want to update your readme:
dataset_config: train_paths: - /data/datasets/LibriSpeech/train-clean-100/transcripts.tsv - /data/datasets/LibriSpeech/train-clean-360/transcripts.tsv - /data/datasets/LibriSpeech/train-other-500/transcripts.tsv eval_paths: - /data/datasets/LibriSpeech/dev-clean/transcripts.tsv - /data/datasets/LibriSpeech/dev-other/transcripts.tsv test_paths: - /data/datasets/LibriSpeech/test-clean/transcripts.tsvTest results:
G_WER = 5.22291565
G_CER = 1.9693377
B_WER = 5.19438553
B_CER = 1.95449066
BLM_WER = 100
BLM_CER = 100
The strange part is that I dot the same metrics on test-other dataset hmmm...