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resultat_t4_2 – AI Model by abba93 | AlphaNeural AI
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abba93
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resultat_t4_2
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
common_voice_17_0
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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resultat_t4_2
This model is a fine-tuned version of
openai/whisper-small
on the common_voice_17_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: 16
seed: 42
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: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
0.0083
1
nan
Framework versions
Transformers 4.48.2
Pytorch 2.6.0+cpu
Datasets 3.2.0
Tokenizers 0.21.0
