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whisper_large_v3_phase3 – AI Model by PThi35 | AlphaNeural AI
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whisper_large_v3_phase3
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
endpoints_compatible
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whisper_large_v3_phase3
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.7053
eval_model_preparation_time: 0.0154
eval_cer: 16.8825
eval_wer: 28.2705
eval_runtime: 2657.6234
eval_samples_per_second: 1.318
eval_steps_per_second: 0.165
step: 0
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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: 1000
num_epochs: 20
mixed_precision_training: Native AMP
Framework versions
Transformers 4.55.4
Pytorch 2.8.0+cu126
Datasets 4.1.1
Tokenizers 0.21.4
