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whisper-small – AI Model by ClementXie | AlphaNeural AI
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ClementXie
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whisper-small
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
generated_from_trainer
dv
mozilla-foundation/common_voice_13_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Dv - ClementXie
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 13 dataset. It achieves the following results on the evaluation set:
Loss: 0.2216
Wer Ortho: 72.6095
Wer: 16.9089
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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 500
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
0.2057
0.41
500
0.2216
72.6095
16.9089
Framework versions
Transformers 4.32.0.dev0
Pytorch 1.13.1
Datasets 2.14.3
Tokenizers 0.13.3
