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whisper-small-mr – AI Model by iPr0x | AlphaNeural AI
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iPr0x
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whisper-small-mr
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
mr
mozilla-foundation/common_voice_13_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Mr - Prox
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 13.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.4593
Wer: 44.0374
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
0.0894
3.98
1000
0.2829
45.4043
0.0069
7.97
2000
0.3788
44.6906
0.0004
11.95
3000
0.4405
43.7479
0.0002
15.94
4000
0.4593
44.0374
Framework versions
Transformers 4.38.2
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.2
