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wav2vec2-mina-ft – AI Model by EJAD1 | AlphaNeural AI
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EJAD1
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wav2vec2-mina-ft
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transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/mms-1b-all
finetune
cc-by-nc-4.0
endpoints_compatible
us
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wav2vec2-mina-ft
This model is a fine-tuned version of
facebook/mms-1b-all
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: 0.0003
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 30
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.57.5
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2
