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hubert-large-timit-stride-3 – AI Model by nh0znoisung | AlphaNeural AI
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hubert-large-timit-stride-3
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transformers
safetensors
hubert
automatic-speech-recognition
generated_from_trainer
facebook/hubert-large-ls960-ft
finetune
apache-2.0
endpoints_compatible
us
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hubert-large-timit-stride-3
This model is a fine-tuned version of
facebook/hubert-large-ls960-ft
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 44.7305
eval_wer: 0.9784
eval_runtime: 168.0856
eval_samples_per_second: 8.27
eval_steps_per_second: 4.135
epoch: 15.4706
step: 12500
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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Use adamw_torch 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
num_epochs: 20
mixed_precision_training: Native AMP
Framework versions
Transformers 4.51.3
Pytorch 2.2.1
Datasets 3.6.0
Tokenizers 0.21.1
