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whisper-reg-bangla – AI Model by ishmamzarif | AlphaNeural AI
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whisper-reg-bangla
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
bn
zarifmahir21/bengali-asr-chunked
bengaliAI/tugstugi_bengaliai-regional-asr_whisper-medium
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper medium Bengali
This model is a fine-tuned version of
bengaliAI/tugstugi_bengaliai-regional-asr_whisper-medium
on the Bengali ASR Chunked dataset. It achieves the following results on the evaluation set:
Loss: 0.1587
Wer: 23.3549
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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.9011
0.9974
190
0.1874
29.3577
0.5526
1.9921
380
0.1597
23.6563
0.3047
2.9869
570
0.1587
23.3549
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
