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whisper-small-bn – AI Model by Shamik | AlphaNeural AI
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whisper-small-bn
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
bn
mozilla-foundation/common_voice_15_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small finetuned on Bengali
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 15 dataset. It achieves the following results on the evaluation set:
Loss: 0.2886
Wer Ortho: 66.3996
Wer: 33.6867
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: 200
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
0.5075
0.8
100
0.4573
77.5920
45.3485
0.257
1.6
200
0.2886
66.3996
33.6867
Framework versions
Transformers 4.36.0
Pytorch 2.0.0
Datasets 2.15.0
Tokenizers 0.15.0
