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wav2vec2-large-xls-r-300m-tigre – AI Model by quaja | AlphaNeural AI
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wav2vec2-large-xls-r-300m-tigre
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transformers
pytorch
tensorboard
wav2vec2
automatic-speech-recognition
generated_from_trainer
common_voice_11_0
endpoints_compatible
us
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wav2vec2-large-xls-r-300m-tigre
This model was trained from scratch on the common_voice_11_0 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: 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: 20
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.26.1
Pytorch 1.10.0+cu113
Datasets 2.10.1
Tokenizers 0.13.2
