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whisper-3-large-turbo-lao-finetuned-v4 – AI Model by Phonepadith | AlphaNeural AI
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Phonepadith
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whisper-3-large-turbo-lao-finetuned-v4
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-large-v3-turbo
finetune
mit
endpoints_compatible
us
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whisper-3-large-turbo-lao-finetuned-v4
This model is a fine-tuned version of
openai/whisper-large-v3-turbo
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0477
Wer: 73.0993
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 100
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0719
1.0
2715
0.0667
78.4668
0.0411
2.0
5430
0.0562
77.5069
0.0297
3.0
8145
0.0472
73.5413
0.0166
4.0
10860
0.0457
73.0172
0.0126
5.0
13575
0.0477
73.0993
Framework versions
Transformers 4.57.6
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2
