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small-fr-qc – AI Model by smrc | AlphaNeural AI
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smrc
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small-fr-qc
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
fr
smrc/linguistique
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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Whisper Small FR QC
This model is a fine-tuned version of
openai/whisper-small
on the Linguistique 1.0 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: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 10
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.45.2
Pytorch 2.0.0+cu118
Datasets 3.0.1
Tokenizers 0.20.1
