whisper-tiny-lg
This model is a fine-tuned version of openai/whisper-tiny on the common_voice_6_0 dataset. It achieves the following results on the evaluation set:
- eval_loss: 2.0726
- eval_wer: 228.8298
- eval_runtime: 246.146
- eval_samples_per_second: 2.84
- eval_steps_per_second: 0.179
- epoch: 41.67
- step: 1000
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: 32
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- training_steps: 10000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.11.0
- Datasets 2.9.0
- Tokenizers 0.13.2