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gyeongsan_1_6_model_50000CER – AI Model by Marcusxx | AlphaNeural AI
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Marcusxx
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gyeongsan_1_6_model_50000CER
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-medium
finetune
apache-2.0
endpoints_compatible
us
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gyeongsan_1_6_model_50000
This model is a fine-tuned version of
openai/whisper-medium
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1386
Cer: 10.5431
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: 100
training_steps: 50000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
0.1752
0.2252
10000
0.1892
11.5421
0.1559
0.4503
20000
0.1678
11.1123
0.1676
0.6755
30000
0.1538
10.6121
0.1342
0.9006
40000
0.1427
10.6985
0.0933
1.1258
50000
0.1386
10.5431
Framework versions
Transformers 4.41.2
Pytorch 2.2.2+cu121
Datasets 2.19.2
Tokenizers 0.19.1
