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whisper-large-v3-polish-impaired – AI Model by mike272 | AlphaNeural AI
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mike272
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whisper-large-v3-polish-impaired
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-large-v3
finetune
apache-2.0
endpoints_compatible
us
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whisper-large-v3-polish-impaired
This model is a fine-tuned version of
openai/whisper-large-v3
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.5641
Wer: 83.0040
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: 50
training_steps: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
2.239
0.05
1
2.7489
84.5850
1.8286
0.1
2
2.7304
84.5850
2.1458
0.15
3
2.6956
84.5850
2.5037
0.2
4
2.6399
83.3992
2.5533
0.25
5
2.5641
83.0040
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cpu
Datasets 3.2.0
Tokenizers 0.21.0
