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whisper-tiny-pl – AI Model by leliw | 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_17_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 17 dataset. It achieves the following results on the evaluation set:
Loss: 0.6714
Wer Ortho: 75.9211
Wer: 66.7013
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: 16
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: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 2000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
0.5684
0.7716
500
0.7197
103.1812
76.3039
0.4006
1.5432
1000
0.6714
79.3973
64.9667
0.2894
2.3148
1500
0.6739
78.6396
65.9231
0.2095
3.0864
2000
0.6714
75.9211
66.7013
Framework versions
Transformers 4.50.0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1
