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xlsr-toratan-240-copt-base_H – AI Model by Benjaminpwh | AlphaNeural AI | AlphaNeural AI
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Benjaminpwh
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xlsr-toratan-240-copt-base_H
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transformers
safetensors
wav2vec2
pretraining
generated_from_trainer
facebook/wav2vec2-xls-r-300m
finetune
apache-2.0
endpoints_compatible
us
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xlsr-toratan-240-copt-base_H
This model is a fine-tuned version of
facebook/wav2vec2-xls-r-300m
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: 7.567e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.5
num_epochs: 20
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.52.0.dev0
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
