metadata
library_name: transformers
language:
- eng
license: apache-2.0
base_model: openai/whisper-tiny.en
tags:
- generated_from_trainer
datasets:
- test_data
metrics:
- wer
model-index:
- name: Whisper tiny eng
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: test_data
type: test_data
args: 'config: eng, split: test'
metrics:
- name: Wer
type: wer
value: 5.555555555555555
Whisper tiny eng
This model is a fine-tuned version of openai/whisper-tiny.en on the test_data dataset. It achieves the following results on the evaluation set:
- Loss: 0.3574
- Wer: 5.5556
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: 5
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.1546 | 1.0 | 3 | 1.6919 | 37.5 |
| 1.3508 | 2.0 | 6 | 1.1947 | 16.6667 |
| 0.9872 | 3.0 | 9 | 0.9060 | 12.5 |
| 0.782 | 4.0 | 12 | 0.7305 | 9.7222 |
| 0.6452 | 5.0 | 15 | 0.6134 | 8.3333 |
| 0.5597 | 6.0 | 18 | 0.5442 | 5.5556 |
| 0.5109 | 7.0 | 21 | 0.5086 | 5.5556 |
| 0.4854 | 8.0 | 24 | 0.4854 | 5.5556 |
| 0.4685 | 9.0 | 27 | 0.4690 | 5.5556 |
| 0.4558 | 10.0 | 30 | 0.4558 | 5.5556 |
| 0.4449 | 11.0 | 33 | 0.4449 | 5.5556 |
| 0.4353 | 12.0 | 36 | 0.4344 | 5.5556 |
| 0.4257 | 13.0 | 39 | 0.4243 | 5.5556 |
| 0.4168 | 14.0 | 42 | 0.4147 | 5.5556 |
| 0.4075 | 15.0 | 45 | 0.4053 | 5.5556 |
| 0.3985 | 16.0 | 48 | 0.3960 | 5.5556 |
| 0.3893 | 17.0 | 51 | 0.3866 | 5.5556 |
| 0.3801 | 18.0 | 54 | 0.3770 | 5.5556 |
| 0.3706 | 19.0 | 57 | 0.3673 | 5.5556 |
| 0.3609 | 20.0 | 60 | 0.3574 | 5.5556 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.2.1
- Datasets 3.3.2
- Tokenizers 0.21.0