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whisper-small-ha – AI Model by Bedru | AlphaNeural AI
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whisper-small-ha
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
common_voice_17_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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whisper-small-ha
This model is a fine-tuned version of
openai/whisper-small
on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:
Loss: 1.2029
Wer: 73.4456
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: 16
eval_batch_size: 8
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: 150
training_steps: 100
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
3.5582
0.1592
25
3.2028
102.2384
2.4066
0.3185
50
1.9236
90.0899
1.4713
0.4777
75
1.4503
79.5102
1.1217
0.6369
100
1.2029
73.4456
Framework versions
Transformers 4.49.0
Pytorch 2.5.1+cu124
Datasets 3.3.1
Tokenizers 0.21.0
