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asr_minds – AI Model by hbhc2866 | AlphaNeural AI
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asr_minds
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transformers
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
w11wo/wav2vec2-xls-r-300m-korean
finetune
apache-2.0
endpoints_compatible
us
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asr_minds
This model is a fine-tuned version of
w11wo/wav2vec2-xls-r-300m-korean
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 2.9713
eval_wer: 0.6918
eval_runtime: 18.1051
eval_samples_per_second: 6.573
eval_steps_per_second: 0.828
epoch: 0.3333
step: 10
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: 1e-05
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: 500
training_steps: 2000
mixed_precision_training: Native AMP
Framework versions
Transformers 4.57.3
Pytorch 2.9.1+cu128
Datasets 4.0.0
Tokenizers 0.22.1
