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whisper-small-bangla-asr-dlsprint – AI Model by kazol196295 | AlphaNeural AI
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kazol196295
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whisper-small-bangla-asr-dlsprint
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tensorboard
safetensors
whisper
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
us
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whisper-small-bangla-asr-dlsprint
This model is a fine-tuned version of
openai/whisper-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1195
Wer: 0.3900
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
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 150
training_steps: 1500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1821
0.16
500
0.1695
0.5006
0.1401
0.31
1000
0.1313
0.4109
0.1257
0.47
1500
0.1195
0.3900
Framework versions
Transformers 4.38.2
Pytorch 2.10.0+cu128
Datasets 2.18.0
Tokenizers 0.15.2
