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k_whisper_output – AI Model by k-seungri | AlphaNeural AI
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k-seungri
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k_whisper_output
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
ko
k-seungri/k_whisper_dataset
openai/whisper-base
finetune
apache-2.0
endpoints_compatible
us
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k-seungri/k_whisper_model
This model is a fine-tuned version of
openai/whisper-base
on the k_whisper_dataset dataset. It achieves the following results on the evaluation set:
Loss: 0.6590
Cer: 53.0478
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: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
0.0002
142.86
1000
0.5964
16.9687
0.0001
285.71
2000
0.6299
16.6392
0.0001
428.57
3000
0.6459
17.1334
0.0001
571.43
4000
0.6590
53.0478
Framework versions
Transformers 4.38.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1
