metadata
library_name: transformers
license: apache-2.0
base_model: openai/whisper-tiny.en
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: dysarthria-tiny-en
results: []
dysarthria-tiny-en
This model is a fine-tuned version of openai/whisper-tiny.en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2870
- Wer: 52.8131
- Cer: 36.9112
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: 8
- seed: 42
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 0.0255 | 13.5135 | 500 | 0.4034 | 199.4555 | 178.1629 |
| 0.0005 | 27.0270 | 1000 | 0.2994 | 17.9673 | 11.4738 |
| 0.0002 | 40.5405 | 1500 | 0.2941 | 17.2414 | 11.1373 |
| 0.0002 | 54.0541 | 2000 | 0.2917 | 16.6969 | 10.7672 |
| 0.0001 | 67.5676 | 2500 | 0.2892 | 15.9710 | 10.3634 |
| 0.0001 | 81.0811 | 3000 | 0.2886 | 53.7205 | 37.3486 |
| 0.0001 | 94.5946 | 3500 | 0.2882 | 53.1760 | 37.2813 |
| 0.0001 | 108.1081 | 4000 | 0.2881 | 53.1760 | 37.3486 |
| 0.0001 | 121.6216 | 4500 | 0.2870 | 52.8131 | 36.9112 |
| 0.0 | 135.1351 | 5000 | 0.2870 | 52.8131 | 36.9112 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0