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output – AI Model by SasankVH | AlphaNeural AI
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output
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transformers
pytorch
whisper
automatic-speech-recognition
generated_from_trainer
audiofolder
model-index
endpoints_compatible
us
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output
This model was trained from scratch on the audiofolder dataset. It achieves the following results on the evaluation set:
Loss: 0.0000
Wer: 0.0
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: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 62
training_steps: 500
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0
125.0
125
0.0000
0.0
0.0
250.0
250
0.0000
0.0
0.0
375.0
375
0.0000
0.0
0.0
500.0
500
0.0000
0.0
Framework versions
Transformers 4.33.0.dev0
Pytorch 2.0.1
Datasets 2.12.0
Tokenizers 0.13.2
