metadata
tags:
- generated_from_trainer
model-index:
- name: whisper-small-ta
results: []
whisper-small-ta
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.1803
- eval_wer: 17.1456
- eval_runtime: 108.2177
- eval_samples_per_second: 0.924
- eval_steps_per_second: 0.065
- epoch: 1.0
- step: 5000
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: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2