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wav2vec2-large-mms-1b-tunizi – AI Model by MaghribLAB | AlphaNeural AI

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MaghribLAB/
wav2vec2-large-mms-1b-tunizi

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automatic-speech-recognition

generated_from_trainer

facebook/mms-1b-all

endpoints_compatible

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wav2vec2-large-mms-1b-tunizi

This model is a fine-tuned version of facebook/mms-1b-all on an unknown 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: 0.001
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: 100
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.41.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1