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whisper-tiny_v2.3-ro – AI Model by giigii91 | AlphaNeural AI
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giigii91
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whisper-tiny_v2.3-ro
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
common_voice_16_0
giigii91/whisper-tiny_v2.2-ro
finetune
apache-2.0
endpoints_compatible
us
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whisper-tiny_v2.3-ro
This model is a fine-tuned version of
giigii91/whisper-tiny_v2.2-ro
on the common_voice_16_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-08
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 4.42.3
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
