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whisper-medium-ko-v0_1_2 – AI Model by morish | AlphaNeural AI
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morish
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whisper-medium-ko-v0_1_2
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
morish/kresp_speech_87_48278_150000
morish/open_communication_109_48652_150000
morish/senior_kspeech_107_150000
morish/telemedicine_208_150000_200000
morish/welfare_470_150000_200000
whisper-2024-09-06
generated_from_trainer
ko
morish/whisper-medium-ko-v0_1_1
finetune
apache-2.0
endpoints_compatible
us
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whisper-ko-finetune
This model is a fine-tuned version of
morish/whisper-medium-ko-v0_1_1
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0829
Cer: 2.4784
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-06
train_batch_size: 32
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.01
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
0.0868
0.2385
500
0.0859
2.5607
0.0856
0.4770
1000
0.0843
2.5300
0.0875
0.7155
1500
0.0833
2.4804
0.0815
0.9540
2000
0.0829
2.4784
Framework versions
Transformers 4.44.2
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1
