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whisper-large-pt – AI Model by Rafaelrosendo1 | AlphaNeural AI
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Rafaelrosendo1
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whisper-large-pt
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transformers
pytorch
whisper
automatic-speech-recognition
generated_from_trainer
Rafaelrosendo1/whisper-large-pt
finetune
apache-2.0
endpoints_compatible
us
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whisper-large-pt
This model is a fine-tuned version of
Rafaelrosendo1/whisper-large-pt
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2494
Wer: 23.0283
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: 32
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
training_steps: 9000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0038
21.4
9000
0.2494
23.0283
Framework versions
Transformers 4.34.0
Pytorch 2.3.0+cu121
Datasets 2.12.0
Tokenizers 0.14.1
