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foreign_p – AI Model by hyk000 | AlphaNeural AI
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foreign_p
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
ko
hyk000/woerae
openai/whisper-base
finetune
apache-2.0
endpoints_compatible
us
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Model card
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wr_md
This model is a fine-tuned version of
openai/whisper-base
on the wr_ds dataset. It achieves the following results on the evaluation set:
Loss: 0.4690
Cer: 32.7677
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: 0.001
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.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: 500
training_steps: 2600
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
0.7558
3.8462
1000
1.0555
65.3794
0.0785
7.6923
2000
0.4690
32.7677
Framework versions
Transformers 4.47.0.dev0
Pytorch 2.5.0
Datasets 3.0.2
Tokenizers 0.20.1
