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for_test13

Automatic Speech Recognition
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hubert
Generated from Trainer
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metadata
library_name: transformers
license: apache-2.0
base_model: team-lucid/hubert-base-korean
tags:
  - generated_from_trainer
model-index:
  - name: for_test13
    results: []

for_test13

This model is a fine-tuned version of team-lucid/hubert-base-korean on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 9.0800
  • Per: 0.8663
  • Learning Rate: 0.0000

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: 32
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 64
  • 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: 20
  • num_epochs: 10
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Per Rate
9.8433 1.0417 50 10.8927 1.9730 0.0001
6.2994 2.0833 100 10.1801 1.4889 0.0001
5.6979 3.125 150 9.8748 1.1627 0.0001
5.5696 4.1667 200 9.6279 0.9856 0.0001
5.5354 5.2083 250 9.4447 0.9282 0.0001
5.3749 6.25 300 9.3013 0.8952 4e-05
5.6517 7.2917 350 9.1784 0.8771 0.0000
5.1293 8.3333 400 9.0618 0.8661 0.0000
5.5912 9.375 450 9.0800 0.8663 0.0000

Framework versions

  • Transformers 4.46.2
  • Pytorch 2.5.1+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3