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whisper-medium-hi – AI Model by CKSINGH | AlphaNeural AI

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CKSINGH/
whisper-medium-hi

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automatic-speech-recognition

hf-asr-leaderboard

generated_from_trainer

openai/whisper-medium

endpoints_compatible

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Whisper Medium Hi CKS 1111

This model is a fine-tuned version of openai/whisper-medium on the None 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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 3000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.1.0
Datasets 2.14.6
Tokenizers 0.14.1