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wav2vec2-bugis – AI Model by aldiiii-mln | AlphaNeural AI
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wav2vec2-bugis
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transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/wav2vec2-xls-r-300m
finetune
apache-2.0
endpoints_compatible
us
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wav2vec2-bugis
This model is a fine-tuned version of
facebook/wav2vec2-xls-r-300m
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.7060
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: 8
eval_batch_size: 8
seed: 42
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
lr_scheduler_warmup_steps: 50
num_epochs: 30
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
2.8013
7.1429
100
2.8363
2.7138
14.2857
200
2.7576
2.6862
21.4286
300
2.7132
2.6869
28.5714
400
2.7060
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 2.16.1
Tokenizers 0.22.1
