cantomed-base-2 / README.md
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metadata
language:
  - yue
license: apache-2.0
base_model: openai/whisper-medium
tags:
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_11_0
model-index:
  - name: Whisper medium 12
    results: []

Whisper medium 12

This model is a fine-tuned version of openai/whisper-medium on the mozilla-foundation/common_voice_11_0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8225
  • Cer: 29.3991

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: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 100
  • training_steps: 12000

Training results

Training Loss Epoch Step Validation Loss Cer
0.0214 12.05 2000 0.7735 57.5787
0.0107 24.1 4000 0.8499 41.2738
0.0013 36.14 6000 0.8238 31.5901
0.0023 48.19 8000 0.8371 30.6105
0.0 60.24 10000 0.8209 29.4550
0.0 72.29 12000 0.8225 29.3991

Framework versions

  • Transformers 4.32.0.dev0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3