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whisper_small_saida – AI Model by Rafaelrosendo1 | AlphaNeural AI
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whisper_small_saida
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transformers
pytorch
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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whisper_small_saida
This model is a fine-tuned version of
openai/whisper-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 4.3761
Wer: 22.5056
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 128
total_train_batch_size: 1024
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 800
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
4.4732
30.45
800
4.3761
22.5056
Framework versions
Transformers 4.34.0
Pytorch 2.1.1+cu121
Datasets 2.12.0
Tokenizers 0.14.1
