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whisper-medium-lv – AI Model by arturslogins | AlphaNeural AI

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arturslogins/
whisper-medium-lv

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0

automatic-speech-recognition

hf-asr-leaderboard

generated_from_trainer

mozilla-foundation/common_voice_16_1

openai/whisper-medium

endpoints_compatible

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Whisper medium LV - Arturs Logins

This model is a fine-tuned version of openai/whisper-medium on the Common Voice 16.1 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: 5e-06
train_batch_size: 4
eval_batch_size: 16
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: 1

Training results

Framework versions

Transformers 4.43.0.dev0
Pytorch 2.2.2+cpu
Datasets 2.18.0
Tokenizers 0.19.1