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whisper-tiny-pl – AI Model by ambind | AlphaNeural AI
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whisper-tiny-pl
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
pl
mozilla-foundation/common_voice_11_0
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper tiny pl
This model is a fine-tuned version of
openai/whisper-tiny
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.7001
Wer: 45.1027
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: 4e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
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: 2
training_steps: 2020
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0369
1.2878
2000
0.7001
45.1027
Framework versions
Transformers 4.46.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.20.3
