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whisper-medium-mn-v2 – AI Model by Ojro | AlphaNeural AI
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whisper-medium-mn-v2
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
mn
mozilla-foundation/common_voice_17_0
openai/whisper-medium
finetune
apache-2.0
endpoints_compatible
us
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Whisper Medium MN - Ochirsukh Batbold
This model is a fine-tuned version of
openai/whisper-medium
on the Common Voice 17.0 dataset.
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: 8
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: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
No log
0.0046
3
4.8408
133.8737
Framework versions
Transformers 4.40.0
Pytorch 1.13.1+cu117
Datasets 2.19.0
Tokenizers 0.19.1
