metadata
base_model: wcyat/whisper-small-yue
tags:
- generated_from_trainer
model-index:
- name: whisper-small-yue-full
results: []
whisper-small-yue-full
This model is a fine-tuned version of wcyat/whisper-small-yue on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.2532
- eval_cer: 11.9313
- eval_runtime: 1178.2632
- eval_samples_per_second: 2.191
- eval_steps_per_second: 0.137
- step: 0
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: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 2000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1