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model1 – AI Model by kimjimin | AlphaNeural AI
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kimjimin
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model1
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
ko
kimjimin/dataset1
openai/whisper-base
finetune
apache-2.0
endpoints_compatible
us
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model1
This model is a fine-tuned version of
openai/whisper-base
on the dataset1 dataset. It achieves the following results on the evaluation set:
Loss: 1.7967
Cer: 232.2430
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: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
0.0001
500.0
1000
1.6765
35.9813
0.0
1000.0
2000
1.7396
232.7103
0.0
1500.0
3000
1.7738
232.2430
0.0
2000.0
4000
1.7967
232.2430
Framework versions
Transformers 4.44.0.dev0
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
