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whisper-small-bn – AI Model by alexviol | AlphaNeural AI
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whisper-small-bn
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
bangla-speech-processing/BanglaASR
finetune
mit
endpoints_compatible
us
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whisper-small-bn
This model is a fine-tuned version of
bangla-speech-processing/BanglaASR
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4061
Wer: 40.6689
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: 26
eval_batch_size: 26
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 150
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.4439
0.15
100
0.4061
40.6689
0.1294
0.3
200
0.1215
99.9192
Framework versions
Transformers 4.36.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
