Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
medium1 – AI Model by freshpearYoon | AlphaNeural AI
You can deploy this model and start earning money today!
freshpearYoon
/
medium1
like
0
transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
ko
openai/whisper-medium
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
whisper_medium
This model is a fine-tuned version of
openai/whisper-medium
on the aihub_1 dataset. It achieves the following results on the evaluation set:
Loss: 2.2566
Cer: 9.1657
Wer: 27.2418
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-07
train_batch_size: 4
eval_batch_size: 4
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: 500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
Wer
2.4204
0.04
500
2.2566
9.1657
27.2418
Framework versions
Transformers 4.37.0.dev0
Pytorch 1.12.1+cu113
Datasets 2.15.0
Tokenizers 0.15.0
