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whisper-kk-sp2n-b16-ms1500-s – AI Model by BauyrjanQ | AlphaNeural AI
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whisper-kk-sp2n-b16-ms1500-s
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
generated_from_trainer
endpoints_compatible
us
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whisper-kk-sp2n-b16-ms1500-s
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.7688
Wer: 210.2922
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
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 1500
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.9012
0.23
1000
1.7688
210.2922
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu117
Datasets 2.13.1
Tokenizers 0.13.3
