Comments (13)
Did your model give reasonable predictions because the training loss is NAN in both steps?
from xlsr-wav2vec2-speech-recognition-urdu.
It's about 7 hours of recorded data, which was then split for training and testing.
from xlsr-wav2vec2-speech-recognition-urdu.
Average duration of each audio?
from xlsr-wav2vec2-speech-recognition-urdu.
@syedasaraCodeNinja 2 sec each
from xlsr-wav2vec2-speech-recognition-urdu.
I am training similar model to this model on other local language using colab pro 40 GB GPU still it says out of memory error ; Training data is around 4-7 hours. Can you connect with me to help out to your extent ; [email protected]
from xlsr-wav2vec2-speech-recognition-urdu.
What is the duration of your each audio file?
I am training similar model to this model on other local language using colab pro 40 GB GPU still it says out of memory error ; Training data is around 4-7 hours. Can you connect with me to help out to your extent ; [email protected]
from xlsr-wav2vec2-speech-recognition-urdu.
Min 2 sec max 55 sec
from xlsr-wav2vec2-speech-recognition-urdu.
55 seconds is too large. The duration of audio file should be from 2 secs to 8 secs.
Secondly, change the "per_device_train_batch_size" from 16 to 8 or 4. The memory error could be because of large batch size
from xlsr-wav2vec2-speech-recognition-urdu.
Yes tried different options still getting same can you have look at code if possible ?
from xlsr-wav2vec2-speech-recognition-urdu.
Yeah sure.
from xlsr-wav2vec2-speech-recognition-urdu.
alright just email when you have enough time thank you ; [email protected]
from xlsr-wav2vec2-speech-recognition-urdu.
Yeah sure.
??
from xlsr-wav2vec2-speech-recognition-urdu.
from xlsr-wav2vec2-speech-recognition-urdu.
Related Issues (4)
- Datasets for Urdu HOT 5
- Urdu Dataset HOT 4
- Pre-trained model HOT 5
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from xlsr-wav2vec2-speech-recognition-urdu.