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whisper-small-en-nonnative-maritime – AI Model by vishakha-lall | AlphaNeural AI
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whisper-small-en-nonnative-maritime
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
endpoints_compatible
us
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whisper-small-en-nonnative-maritime
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0000
Wer: 34.0415
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: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0001
142.86
1000
0.0001
39.4007
0.0001
285.71
2000
0.0001
39.2263
0.0
428.57
3000
0.0000
36.6735
0.0
571.43
4000
0.0000
35.1039
0.0
714.29
5000
0.0000
34.0415
Framework versions
Transformers 4.37.2
Pytorch 2.2.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1
