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Fine-Tunning-tiny-v1.0 – AI Model by lucasjca | AlphaNeural AI
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Fine-Tunning-tiny-v1.0
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transformers
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
pt
lorem-ipsum/dolor-sit-amet
openai/whisper-tiny
finetune
apache-2.0
endpoints_compatible
us
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Whisper Tiny - Fala-Teste Revisado
This model is a fine-tuned version of
openai/whisper-tiny
on the Treinamento teste com dados revisados 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: 3e-06
train_batch_size: 2
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
training_steps: 250
mixed_precision_training: Native AMP
Framework versions
Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.3.2
Tokenizers 0.21.0
