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whisper-tanglish-v11-ultimate-polish – AI Model by Badri0510 | AlphaNeural AI
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Badri0510
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whisper-tanglish-v11-ultimate-polish
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
Badri0510/whisper-tanglish-v11-final-polish
finetune
endpoints_compatible
us
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whisper-tanglish-v11-ultimate-polish
This model is a fine-tuned version of
Badri0510/whisper-tanglish-v11-final-polish
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0836
Wer: 0.3544
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-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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: constant
lr_scheduler_warmup_steps: 50
training_steps: 2500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.2124
0.2
500
0.1045
0.3770
0.4007
0.4
1000
0.1026
0.3767
0.1001
1.1528
1500
0.0947
0.3772
0.2050
1.3528
2000
0.0924
0.3707
0.3927
2.1068
2500
0.0836
0.3544
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
