metadata
license: apache-2.0
base_model: openai/whisper-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-base-cs-cv11-vol01-speed01-gaussian02-pitch02-lowpass015-mp3015
results: []
whisper-base-cs-cv11-vol01-speed01-gaussian02-pitch02-lowpass015-mp3015
This model is a fine-tuned version of openai/whisper-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3771
- Wer: 37.0722
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- 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: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.4693 | 1.44 | 1000 | 0.4494 | 43.4910 |
| 0.3517 | 2.89 | 2000 | 0.4017 | 39.5532 |
| 0.2479 | 4.33 | 3000 | 0.3830 | 37.3577 |
| 0.2233 | 5.78 | 4000 | 0.3771 | 37.0722 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0