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repo002 – AI Model by gingercake01 | AlphaNeural AI
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repo002
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
ko
gingercake01/stt0409
openai/whisper-base
finetune
apache-2.0
endpoints_compatible
us
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baseWhisper
This model is a fine-tuned version of
openai/whisper-base
on the stt0409 dataset. It achieves the following results on the evaluation set:
Loss: 0.0000
Cer: 1255.9727
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-06
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
num_epochs: 20
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
0.0
6.8
1000
0.0000
658.3618
0.0
13.61
2000
0.0000
1255.9727
Framework versions
Transformers 4.40.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
