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medium2 – AI Model by freshpearYoon | AlphaNeural AI
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medium2
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
ko
openai/whisper-medium
finetune
apache-2.0
endpoints_compatible
us
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whisper_medium
This model is a fine-tuned version of
openai/whisper-medium
on the aihub dataset. It achieves the following results on the evaluation set:
Loss: 1.6505
Cer: 12.0457
Wer: 29.9853
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
1.6678
0.04
500
1.6505
12.0457
29.9853
Framework versions
Transformers 4.37.0.dev0
Pytorch 1.12.1+cu113
Datasets 2.15.0
Tokenizers 0.15.0
