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whisper-small-fr – AI Model by HassounAymane | AlphaNeural AI | AlphaNeural AI

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HassounAymane/
whisper-small-fr

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0

automatic-speech-recognition

generated_from_trainer

common_voice_11_0

openai/whisper-small

endpoints_compatible

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whisper-small-fr

This model is a fine-tuned version of openai/whisper-small on the common_voice_11_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
training_steps: 5000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.41.0
Pytorch 2.3.0+cpu
Datasets 2.19.1
Tokenizers 0.19.1