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ssahubert_yemba – AI Model by Naho07 | AlphaNeural AI
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Naho07
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ssahubert_yemba
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transformers
safetensors
hubert
automatic-speech-recognition
generated_from_trainer
endpoints_compatible
us
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ssahubert_yemba
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 0.7322
eval_cer: 0.2123
eval_wer: 0.6381
eval_runtime: 3.5279
eval_samples_per_second: 102.611
eval_steps_per_second: 13.039
epoch: 11.0
step: 2002
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
lr_scheduler_warmup_steps: 0.1
num_epochs: 45
mixed_precision_training: Native AMP
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
