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sw_low_hp1_2 – AI Model by Sjdan | AlphaNeural AI

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Sjdan/
sw_low_hp1_2

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automatic-speech-recognition

generated_from_trainer

endpoints_compatible

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sw_low_hp1_2

This model is a fine-tuned version of facebook/wav2vec2-large-960h-lv60-self 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: 0.0001
train_batch_size: 1
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
num_epochs: 25
mixed_precision_training: Native AMP

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3