metadata
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-khmer-aug-v6
results: []
whisper-tiny-khmer-aug-v6
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: 0.2585
- Wer: 67.4882
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 |
|---|---|---|---|---|
| 0.7681 | 0.9994 | 837 | 0.3735 | 85.3089 |
| 0.32 | 2.0 | 1675 | 0.2922 | 79.2119 |
| 0.2456 | 2.9994 | 2512 | 0.2541 | 77.7850 |
| 0.2055 | 4.0 | 3350 | 0.2429 | 76.9418 |
| 0.1788 | 4.9994 | 4187 | 0.2487 | 73.0177 |
| 0.1589 | 6.0 | 5025 | 0.2357 | 68.6882 |
| 0.1419 | 6.9994 | 5862 | 0.2396 | 70.0503 |
| 0.1283 | 8.0 | 6700 | 0.2448 | 66.4829 |
| 0.1154 | 8.9994 | 7537 | 0.2484 | 68.8503 |
| 0.1046 | 9.9940 | 8370 | 0.2585 | 67.4882 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.3.1
- Datasets 2.21.0
- Tokenizers 0.19.1