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sample – AI Model by DianaJin | AlphaNeural AI
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DianaJin
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sample
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
ko
DianaJin/sample
openai/whisper-base
finetune
apache-2.0
endpoints_compatible
us
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jinkrsmodel
This model is a fine-tuned version of
openai/whisper-base
on the DianaJin/voice dataset. It achieves the following results on the evaluation set:
Loss: 1.2017
Cer: 134.5133
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: 5
training_steps: 40
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
No log
3.33
10
2.1701
13.2743
No log
6.67
20
1.3824
55.3097
1.7663
10.0
30
1.2305
164.1593
1.7663
13.33
40
1.2017
134.5133
Framework versions
Transformers 4.36.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
