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hp_mst_f02_1 – AI Model by Sjdan | AlphaNeural AI

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Sjdan/
hp_mst_f02_1

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automatic-speech-recognition

generated_from_trainer

endpoints_compatible

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hp_mst_f02_1

This model is a fine-tuned version of Sjdan/mst_1 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: 4
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: 7
mixed_precision_training: Native AMP

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.0
Tokenizers 0.13.2