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indic-whisper-kn-reverse-mft-1-0-1-9 – AI Model by kritianandan | AlphaNeural AI
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indic-whisper-kn-reverse-mft-1-0-1-9
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
endpoints_compatible
us
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indic-whisper-kn-reverse-mft-1-0-1-9
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.9063
Wer: 72.5513
Cer: 112.8425
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: 0.0002
train_batch_size: 64
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 128
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: 56
training_steps: 140
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
2.9789
1.0
140
2.9063
72.5513
112.8425
Framework versions
Transformers 4.51.1
Pytorch 2.7.1+cu128
Datasets 3.6.0
Tokenizers 0.21.4
