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whisper-small-mongolian – AI Model by Cafet | AlphaNeural AI

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Cafet/
whisper-small-mongolian

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automatic-speech-recognition

generated_from_trainer

common_voice_11_0

endpoints_compatible

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whisper-small-mongolian

eval_loss: 0.0255
eval_wer: 3.9864
eval_runtime: 1588.8988
eval_samples_per_second: 1.17
eval_steps_per_second: 0.147
epoch: 2.3112
step: 1500

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: 1000
training_steps: 3000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1