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--- |
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license: apache-2.0 |
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base_model: openai/whisper-small |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-small-khmer-aug-v6 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# whisper-small-khmer-aug-v6 |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2209 |
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- Wer: 60.8400 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- lr_scheduler_warmup_steps: 1000 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:------:|:----:|:---------------:|:-------:| |
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| 0.5473 | 0.9994 | 837 | 0.2368 | 79.1309 | |
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| 0.2005 | 2.0 | 1675 | 0.1907 | 69.7422 | |
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| 0.1505 | 2.9994 | 2512 | 0.1775 | 65.4289 | |
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| 0.1221 | 4.0 | 3350 | 0.1839 | 65.3802 | |
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| 0.1013 | 4.9994 | 4187 | 0.1888 | 64.1641 | |
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| 0.0851 | 6.0 | 5025 | 0.1921 | 62.8507 | |
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| 0.0725 | 6.9994 | 5862 | 0.1960 | 61.9588 | |
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| 0.0618 | 8.0 | 6700 | 0.2103 | 62.6074 | |
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| 0.053 | 8.9994 | 7537 | 0.2161 | 61.3426 | |
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| 0.0474 | 9.9940 | 8370 | 0.2209 | 60.8400 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.3.1 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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