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merged_model – AI Model by Tiberiw | AlphaNeural AI
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Tiberiw
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merged_model
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transformers
safetensors
whisper
automatic-speech-recognition
wft
audio
speech
generated_from_trainer
en
Shamus/multimed_short
openai/whisper-large-v3
finetune
apache-2.0
endpoints_compatible
us
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whisper-large-v3-lora-med
This model is a fine-tuned version of
openai/whisper-large-v3
on the Shamus/multimed_short dataset.
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: 0.001
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
num_epochs: 10
Training results
Framework versions
PEFT 0.15.2
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
