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xho-1 – AI Model by khaingsmon | AlphaNeural AI

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khaingsmon/
xho-1

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automatic-speech-recognition

generated_from_trainer

ml-superb-subset

Akashpb13/Swahili_xlsr

endpoints_compatible

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xho-1

This model is a fine-tuned version of Akashpb13/Swahili_xlsr on the ml-superb-subset 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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
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
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1