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indic-whisper-reverse-ml-mft-1-0-1-15 – AI Model by Koosh0610 | AlphaNeural AI
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indic-whisper-reverse-ml-mft-1-0-1-15
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
endpoints_compatible
us
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indic-whisper-reverse-ml-mft-1-0-1-15
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0236
Wer: 7.6923
Cer: 1.4235
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: 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: cosine
lr_scheduler_warmup_steps: 2
training_steps: 2014
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
0.035
2.9727
600
0.0261
11.5385
2.3132
0.0338
5.9429
1200
0.0234
7.6923
1.4235
0.035
8.9132
1800
0.0236
7.6923
1.4235
Framework versions
Transformers 4.51.1
Pytorch 2.8.0+cu128
Datasets 4.4.1
Tokenizers 0.21.4