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whisper-small-ver1 – AI Model by unanam | AlphaNeural AI
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unanam
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whisper-small-ver1
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
ko
unanam/mdrama
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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whisper-small-ver1
This model is a fine-tuned version of
openai/whisper-small
on the 사극 드라마 dataset. It achieves the following results on the evaluation set:
Loss: 8.2325
Cer: 84.4150
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: 0.001
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 400
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
2.9362
5.59
1000
4.0341
165.0697
0.5237
11.17
2000
5.7270
88.3566
0.1343
16.76
3000
7.0163
83.8232
0.0004
22.35
4000
8.2325
84.4150
Framework versions
Transformers 4.38.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.1
