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wav2vec2-large-xls-r-300m-finetune-dali-240-min-per-lang – AI Model by ashanhr | AlphaNeural AI

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ashanhr/
wav2vec2-large-xls-r-300m-finetune-dali-240-min-per-lang

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automatic-speech-recognition

generated_from_trainer

facebook/wav2vec2-xls-r-300m

endpoints_compatible

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wav2vec2-large-xls-r-300m-finetune-dali-240-min-per-lang

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m 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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 30
mixed_precision_training: Native AMP

Framework versions

Transformers 4.38.1
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2