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whisper-aviation – AI Model by scy0208 | AlphaNeural AI
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scy0208
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whisper-aviation
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-small.en
finetune
apache-2.0
endpoints_compatible
us
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whisper-aviation
This model is a fine-tuned version of
openai/whisper-small.en
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.0058
Wer: 42.5926
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
Wer
0.0002
166.67
1000
0.9191
43.0041
0.0001
333.33
2000
0.9722
41.9753
0.0
500.0
3000
0.9963
41.7695
0.0
666.67
4000
1.0058
42.5926
Framework versions
Transformers 4.36.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
