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whisper-large-v2-ft-cy-2606 – AI Model by DewiBrynJones | AlphaNeural AI
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whisper-large-v2-ft-cy-2606
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-large-v2
finetune
apache-2.0
endpoints_compatible
us
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whisper-large-v2-ft-cy-2606
This model is a fine-tuned version of
openai/whisper-large-v2
on the DewiBrynJones/preprocessed-whisper-btb-cv-cvad-wlga-ca-2606 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: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 2
total_train_batch_size: 64
total_eval_batch_size: 32
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 500
training_steps: 15000
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.57.6
Pytorch 2.12.0+cu130
Datasets 5.0.0
Tokenizers 0.22.2
