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phowhisper-medium-finetuned-noisy-bioasr – AI Model by lengocquangLAB | AlphaNeural AI
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lengocquangLAB
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phowhisper-medium-finetuned-noisy-bioasr
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
vinai/PhoWhisper-base
finetune
bsd-3-clause
endpoints_compatible
us
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phowhisper-medium-finetuned-noisy-bioasr
This model is a fine-tuned version of
vinai/PhoWhisper-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 4.0217
Wer Ortho: 66.9173
Wer: 60.9023
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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
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
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
6.9397
0.32
2
5.2417
67.6692
61.6541
5.1751
0.64
4
4.4155
66.9173
60.9023
3.7293
0.96
6
4.0217
66.9173
60.9023
Framework versions
Transformers 4.52.4
Pytorch 2.7.1+cu126
Datasets 3.6.0
Tokenizers 0.21.1
