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whisper-small-sv-v4 – AI Model by AdrianHR | AlphaNeural AI
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AdrianHR
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whisper-small-sv-v4
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
sv
mozilla-foundation/common_voice_11_0
model-index
endpoints_compatible
us
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whisper-small-sv-v4
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3896
Wer: 20.3571
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: 2000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0057
1.29
1000
0.4104
21.1825
0.002
2.59
2000
0.3896
20.3571
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
