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kisan-awaaz-whisper – AI Model by Vaanianand | AlphaNeural AI
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kisan-awaaz-whisper
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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kisan-awaaz-whisper
This model is a fine-tuned version of
openai/whisper-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2692
Wer: 1.0715
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: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 1000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.3599
0.7968
200
0.4152
1.1241
0.2162
1.5936
400
0.3093
1.0579
0.1662
2.3904
600
0.2783
1.1169
0.1239
3.1873
800
0.2734
1.1072
0.1193
3.9841
1000
0.2692
1.0715
Framework versions
Transformers 4.44.2
Pytorch 2.11.0+cu128
Datasets 2.20.0
Tokenizers 0.19.1
