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csclean-tat – AI Model by alexachang | AlphaNeural AI
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alexachang
/
csclean-tat
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
generated_from_trainer
alexachang/whisper-small-csclean
finetune
apache-2.0
endpoints_compatible
us
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csclean-tat
This model is a fine-tuned version of
alexachang/whisper-small-csclean
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.2923
eval_cer: 12.2014
eval_runtime: 363.1582
eval_samples_per_second: 4.973
eval_steps_per_second: 0.622
epoch: 2.9118
step: 3500
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: 5e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
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
lr_scheduler_warmup_steps: 300
training_steps: 3500
mixed_precision_training: Native AMP
Framework versions
Transformers 4.52.4
Pytorch 2.1.0+cu118
Datasets 3.6.0
Tokenizers 0.21.4
