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whisper-tiny_to_indian_accent_5 – AI Model by Jerry02 | AlphaNeural AI
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whisper-tiny_to_indian_accent_5
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
en
Indian_english_3
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper tiny Indian
This model is a fine-tuned version of
openai/whisper-tiny
on the Indian English dataset. It achieves the following results on the evaluation set:
Loss: 0.3162
Wer: 14.9548
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: 4
eval_batch_size: 1
seed: 42
optimizer: Use OptimizerNames.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: 500
training_steps: 4000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1017
2.3310
1000
0.2688
25.7831
0.0263
4.6620
2000
0.2910
17.8313
0.0028
6.9930
3000
0.3093
14.9096
0.0012
9.3240
4000
0.3162
14.9548
Framework versions
Transformers 4.50.0.dev0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1
