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whisper-small-hindi-joshtalks – AI Model by duecop | AlphaNeural AI
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duecop
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whisper-small-hindi-joshtalks
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
generator
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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whisper-small-hindi-joshtalks
This model is a fine-tuned version of
openai/whisper-small
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 0.4028
Wer: 40.3610
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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
training_steps: 500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.348
0.9025
500
0.4028
40.3610
Framework versions
Transformers 4.44.2
Pytorch 2.10.0+cu128
Datasets 4.8.3
Tokenizers 0.19.1
