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whisper-small-dj – AI Model by binbin123 | AlphaNeural AI
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whisper-small-dj
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peft
tensorboard
safetensors
whisper
generated_from_trainer
ug
mozilla-foundation/common_voice_11_0
openai/whisper-base
adapter
apache-2.0
model-index
us
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Whisper Small ug - binbin123
This model is a fine-tuned version of
openai/whisper-base
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.3845
Wer Ortho: 60.7551
Wer: 56.2793
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: 2e-05
train_batch_size: 16
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: 50
training_steps: 500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
0.272
1.9608
500
0.3845
60.7551
56.2793
Framework versions
PEFT 0.13.2
Transformers 4.45.2
Pytorch 1.12.0
Datasets 3.0.2
Tokenizers 0.20.1