metadata
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-khmer-aug
results: []
whisper-tiny-khmer-aug
This model is a fine-tuned version of openai/whisper-tiny on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2697
- Wer: 68.1206
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.8969 | 1.0 | 670 | 0.4289 | 91.3572 |
| 0.3822 | 2.0 | 1340 | 0.3025 | 79.3741 |
| 0.292 | 3.0 | 2010 | 0.2727 | 85.6819 |
| 0.2439 | 4.0 | 2680 | 0.2637 | 74.1365 |
| 0.2124 | 5.0 | 3350 | 0.2548 | 70.2124 |
| 0.1844 | 6.0 | 4020 | 0.2606 | 79.7470 |
| 0.1651 | 7.0 | 4690 | 0.2505 | 68.5909 |
| 0.1472 | 8.0 | 5360 | 0.2637 | 67.9261 |
| 0.1344 | 9.0 | 6030 | 0.2672 | 66.2234 |
| 0.1194 | 10.0 | 6700 | 0.2697 | 68.1206 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.3.1
- Datasets 2.21.0
- Tokenizers 0.19.1