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whisper-small-cn_1

Automatic Speech Recognition
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metadata
language:
  - cn
license: apache-2.0
base_model: openai/whisper-small
tags:
  - generated_from_trainer
datasets:
  - Svetlana0303/my_CN_ds_CER
model-index:
  - name: Whisper Small CN - my voice with CER metric
    results: []

Whisper Small CN - my voice with CER metric

This model is a fine-tuned version of openai/whisper-small on the my_CN_ds dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7618
  • Cer: 44.3038

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: 16
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 50
  • training_steps: 400
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Cer
0.0001 100.0 100 0.7589 35.4430
0.0 200.0 200 0.7597 44.3038
0.0 300.0 300 0.7608 44.3038
0.0 400.0 400 0.7618 44.3038

Framework versions

  • Transformers 4.40.1
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1