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whisper-base-dv – AI Model by RamNaamSatyaHai | AlphaNeural AI
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whisper-base-dv
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transformers
pytorch
whisper
automatic-speech-recognition
generated_from_trainer
dv
mozilla-foundation/common_voice_13_0
openai/whisper-base
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Base Dv
This model is a fine-tuned version of
openai/whisper-base
on the Common Voice 13 dataset. It achieves the following results on the evaluation set:
Loss: 0.2531
Wer Ortho: 82.4779
Wer: 23.9107
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: 16
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
0.2137
1.63
500
0.2531
82.4779
23.9107
Framework versions
Transformers 4.34.0
Pytorch 2.0.1+cu118
Tokenizers 0.14.1
