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whisperFT-mixat-tri-noLID – AI Model by sqrk | AlphaNeural AI
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whisperFT-mixat-tri-noLID
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-tiny
finetune
apache-2.0
endpoints_compatible
us
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whisperFT-mixat-tri-noLID
This model is a fine-tuned version of
openai/whisper-tiny
on an unknown 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: 8
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
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: 500
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.50.3
Pytorch 2.4.1
Datasets 3.0.0
Tokenizers 0.21.1
