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whisper-base-pl-puct-4k – AI Model by CheeLi03 | AlphaNeural AI
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whisper-base-pl-puct-4k
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
pl
fleurs
openai/whisper-base
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Base Polish Punctuation 5k - Chee Li
This model is a fine-tuned version of
openai/whisper-base
on the Google Fleurs dataset. It achieves the following results on the evaluation set:
Loss: 0.6252
Wer: 36.6313
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 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: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0545
5.0251
1000
0.5089
36.1010
0.0052
10.0503
2000
0.5784
35.7731
0.0027
15.0754
3000
0.6118
36.4359
0.0021
20.1005
4000
0.6252
36.6313
Framework versions
Transformers 4.46.2
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.20.3
