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whisper-small-telugu-k-fold-2 – AI Model by kaarthu2003 | AlphaNeural AI
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whisper-small-telugu-k-fold-2
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openslr
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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whisper-small-telugu-k-fold-2
This model is a fine-tuned version of
openai/whisper-small
on the openslr dataset. It achieves the following results on the evaluation set:
eval_loss: 0.1469
eval_model_preparation_time: 0.0123
eval_wer: 0.3205
eval_cer: 0.0616
eval_runtime: 571.1633
eval_samples_per_second: 1.558
eval_steps_per_second: 0.196
step: 0
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use adamw_torch 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: 400
num_epochs: 10
mixed_precision_training: Native AMP
Framework versions
Transformers 4.51.3
Pytorch 2.1.0+cu118
Datasets 3.5.1
Tokenizers 0.21.1
