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whisper-tanglish-aggressive-experiment – AI Model by Badri0510 | AlphaNeural AI
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Badri0510
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whisper-tanglish-aggressive-experiment
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ta
en
Lokesh0506/Tanglish-ASR-Dataset
Lokesh0506/indian-english-asr-dataset
Badri0510/whisper-base-tanglish-english-finetuned
finetune
endpoints_compatible
us
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Thedal Transcript V11 - Aggressive LR Final
This model is a fine-tuned version of
Badri0510/whisper-base-tanglish-english-finetuned
on the Tanglish & Indian English Audio dataset.
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: 5e-05
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: cosine
lr_scheduler_warmup_steps: 200
training_steps: 4000
mixed_precision_training: Native AMP
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
