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phowhisper_od – AI Model by mo-nguyen-tmo | AlphaNeural AI
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phowhisper_od
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
vi
OD
vinai/PhoWhisper-base
finetune
bsd-3-clause
endpoints_compatible
us
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Pho Whisper Base - OD
This model is a fine-tuned version of
vinai/PhoWhisper-base
on the ViMD dataset. It achieves the following results on the evaluation set:
Loss: 0.5595
Wer: 31.6647
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: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0014
41.6667
1000
0.5003
31.9728
0.0004
83.3333
2000
0.5321
32.8071
0.0002
125.0
3000
0.5517
32.3707
0.0002
166.6667
4000
0.5595
31.6647
Framework versions
Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.4.0
Tokenizers 0.21.0
