metadata
library_name: transformers
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: results
results: []
results
This model is a fine-tuned version of openai/whisper-tiny on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0893
- Wer: 0.0991
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.9767 | 1.0 | 7 | 0.4806 | 0.2243 |
| 0.3635 | 2.0 | 14 | 0.2216 | 0.1310 |
| 0.1596 | 3.0 | 21 | 0.1460 | 0.1016 |
| 0.076 | 4.0 | 28 | 0.1198 | 0.0915 |
| 0.0405 | 5.0 | 35 | 0.1142 | 0.0906 |
| 0.0262 | 6.0 | 42 | 0.1034 | 0.0901 |
| 0.0151 | 7.0 | 49 | 0.0965 | 0.1019 |
| 0.0083 | 8.0 | 56 | 0.0924 | 0.0963 |
| 0.0043 | 9.0 | 63 | 0.0899 | 0.0991 |
| 0.0023 | 10.0 | 70 | 0.0902 | 0.1019 |
| 0.0014 | 11.0 | 77 | 0.0924 | 0.1046 |
| 0.0012 | 12.0 | 84 | 0.0923 | 0.1040 |
| 0.0009 | 13.0 | 91 | 0.0915 | 0.1040 |
| 0.0008 | 14.0 | 98 | 0.0907 | 0.1040 |
| 0.0007 | 15.0 | 105 | 0.0904 | 0.0957 |
| 0.0007 | 16.0 | 112 | 0.0888 | 0.0957 |
| 0.0006 | 17.0 | 119 | 0.0900 | 0.0957 |
| 0.0006 | 18.0 | 126 | 0.0895 | 0.0957 |
| 0.0005 | 19.0 | 133 | 0.0894 | 0.0991 |
| 0.0006 | 20.0 | 140 | 0.0893 | 0.0991 |
Framework versions
- Transformers 4.50.2
- Pytorch 2.4.0+cu121
- Datasets 3.4.1
- Tokenizers 0.21.0