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---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-khmer-aug-v6
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# whisper-tiny-khmer-aug-v6
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2583
- Wer: 65.9478
## 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 |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.7761 | 0.9994 | 837 | 0.3819 | 88.5358 |
| 0.3222 | 2.0 | 1675 | 0.2888 | 79.8768 |
| 0.2456 | 2.9994 | 2512 | 0.2535 | 73.9419 |
| 0.2058 | 4.0 | 3350 | 0.2438 | 73.8447 |
| 0.1777 | 4.9994 | 4187 | 0.2391 | 69.8070 |
| 0.1577 | 6.0 | 5025 | 0.2397 | 68.3152 |
| 0.1421 | 6.9994 | 5862 | 0.2383 | 68.9801 |
| 0.1283 | 8.0 | 6700 | 0.2418 | 67.2612 |
| 0.1163 | 8.9994 | 7537 | 0.2475 | 69.7097 |
| 0.1052 | 9.9940 | 8370 | 0.2583 | 65.9478 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.3.1
- Datasets 2.21.0
- Tokenizers 0.19.1
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