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bangla-ASR-v4 – AI Model by arif11 | AlphaNeural AI
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bangla-ASR-v4
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
generated_from_trainer
bn
mozilla-foundation/common_voice_13_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper in Bangla
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 13 dataset. It achieves the following results on the evaluation set:
Loss: 0.1358
Wer: 37.4638
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 1000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0324
0.27
500
0.1438
37.4780
0.0397
0.53
1000
0.1358
37.4638
Framework versions
Transformers 4.31.0
Pytorch 2.0.0
Datasets 2.14.2
Tokenizers 0.13.3
