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Hubert-ft-eval – AI Model by utakumi | AlphaNeural AI
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Hubert-ft-eval
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transformers
safetensors
hubert
automatic-speech-recognition
mozilla-foundation/common_voice_13_0
generated_from_trainer
ja
common_voice_13_0
utakumi/Hubert-common_voice-phoneme-ctc_zero_infinity
finetune
apache-2.0
endpoints_compatible
us
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Hubert-ft-eval
This model is a fine-tuned version of
utakumi/Hubert-common_voice-phoneme-ctc_zero_infinity
on the MOZILLA-FOUNDATION/COMMON_VOICE_13_0 - JA dataset. It achieves the following results on the evaluation set:
eval_loss: 0.6036
eval_model_preparation_time: 0.0038
eval_wer: 1.0
eval_cer: 0.1999
eval_runtime: 205.0868
eval_samples_per_second: 24.18
eval_steps_per_second: 3.023
step: 0
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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use 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_steps: 12500
num_epochs: 1.0
mixed_precision_training: Native AMP
Framework versions
Transformers 4.47.0.dev0
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.20.3
