metadata
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-khmer-aug-v4
results: []
whisper-tiny-khmer-aug-v4
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: 0.4707
- Wer: 87.9034
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 |
|---|---|---|---|---|
| 1.1549 | 1.0 | 793 | 1.0460 | 101.2810 |
| 0.8009 | 2.0 | 1586 | 0.7930 | 108.9509 |
| 0.5929 | 3.0 | 2379 | 0.5986 | 95.7516 |
| 0.4686 | 4.0 | 3172 | 0.5323 | 99.9351 |
| 0.411 | 5.0 | 3965 | 0.4952 | 88.9087 |
| 0.3694 | 6.0 | 4758 | 0.4675 | 101.5405 |
| 0.332 | 7.0 | 5551 | 0.4639 | 90.0600 |
| 0.3043 | 8.0 | 6344 | 0.4541 | 78.9363 |
| 0.2819 | 9.0 | 7137 | 0.4532 | 82.9901 |
| 0.2615 | 10.0 | 7930 | 0.4707 | 87.9034 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.3.1
- Datasets 2.21.0
- Tokenizers 0.19.1