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breeze-asr-25-zh-t4

Automatic Speech Recognition
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whisper
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metadata
library_name: transformers
license: apache-2.0
base_model: MediaTek-Research/Breeze-ASR-25
tags:
  - generated_from_trainer
model-index:
  - name: breeze-asr-25-zh-t4
    results: []

breeze-asr-25-zh-t4

This model is a fine-tuned version of MediaTek-Research/Breeze-ASR-25 on the None dataset.

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: 1
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 16
  • optimizer: Use OptimizerNames.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: 150
  • training_steps: 1500

Framework versions

  • Transformers 4.53.2
  • Pytorch 2.6.0+cu124
  • Datasets 2.14.4
  • Tokenizers 0.21.2