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wav2vec2-large-xls-r-300m-dm32-noise30 – AI Model by Jayo2 | AlphaNeural AI
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Jayo2
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wav2vec2-large-xls-r-300m-dm32-noise30
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transformers
safetensors
wav2vec2
generated_from_trainer
facebook/wav2vec2-xls-r-300m
finetune
apache-2.0
endpoints_compatible
us
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wav2vec2-large-xls-r-300m-dm32-noise30
This model is a fine-tuned version of
facebook/wav2vec2-xls-r-300m
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6766
Accuracy: 0.5833
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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
2.2759
34
0.6854
0.5833
No log
4.5517
68
0.6766
0.5833
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
