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test_ver5 – AI Model by Jpep26 | AlphaNeural AI
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test_ver5
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
ko
Jpep26/NoErrorDataset
openai/whisper-base
finetune
apache-2.0
model-index
endpoints_compatible
us
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This model is a fine-tuned version of
openai/whisper-base
on the NoErrorDataset dataset. It achieves the following results on the evaluation set:
Loss: 0.6020
Cer: 0.4962
Wer: 0.4877
Mean: 0.4919
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: 32
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: 500
training_steps: 200
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
Wer
Mean
2.3893
0.3817
50
2.0607
0.4421
0.7020
0.5720
1.2402
0.7634
100
1.0999
0.3408
0.5773
0.4591
0.7512
1.1450
150
0.7303
0.7268
0.5418
0.6343
0.593
1.5267
200
0.6020
0.4962
0.4877
0.4919
Framework versions
Transformers 4.44.2
Pytorch 2.0.1+cu117
Datasets 2.18.0
Tokenizers 0.19.1
