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noc_combine – AI Model by Mahafit | AlphaNeural AI
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noc_combine
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
biodatlab/whisper-th-large-v3
finetune
apache-2.0
endpoints_compatible
us
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Whisper large - Noc Operation
This model is a fine-tuned version of
biodatlab/whisper-th-large-v3
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2536
Wer: 59.1513
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: 1
eval_batch_size: 1
seed: 42
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT 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: 10000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0493
1.3650
10000
0.2536
59.1513
Framework versions
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2
